CDFG / MIT CSAIL

Publications

2026

  • A Genetic Algorithm for Navigating Synthesizable Molecular Spaces
    A. Lo, C. W. Coley, and W. Matusik · ICLR. 2026
  • Bayesian Post Training Enhancement of Regression Models with Calibrated Rankings
    K. T. Wijaya, B. Hu, H. Seidel, W. Matusik, and V. Babaei · ICLR. 2026
  • Fast Organic Crystal Structure Prediction with Unit Cell Flow Matching
    A. Lo, L. Mucko, A. H. Cheng, A. Cai, A. J. A. Price, W. Matusik, and A. Aspuru-Guzik · arXiv:2606.03199. 2026preprint
  • From Visual Computing to Physical AI: Simulation, Optimization, and Learning for Physical World
    Yifei Li · MIT
  • Generative AI Meets Computer Graphics
    L. Liu, M. Guo, Y. Yang, C. Jiang, W. Matusik, R. Hanocka, J. Wu, X. Tong, Y. Hu, Y. Li, and Y. Feng · Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Technical Workshops, 1-3. 2026
  • GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training
    H. Wu, M. Guo, Z. Li, Z. Dou, M. Long, K. He, and W. Matusik · arXiv:2602.20399. 2026preprint
  • Graphics4Science 2026: Graphics for Cross-Scale Reliable Scientific Instruments
    M. Guo, M. K. Lukovic, Q. Huang, Y. Yang, C. Jiang, W. Matusik, and P. Y. Chen · Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Technical Workshops, 1-6. 2026
  • Heat treatment design for additively manufactured nickel superalloy via Bayesian optimization of ultimate tensile strength and energy consumption
    E. Katary, K. Sekuła, D. Krok, M. Posmyk, M. Dusza, W. Matusik, and K. Gruber · Virtual and Physical Prototyping 21(1). 2026
  • Hierarchical Transformer Preconditioning for Interactive Physics Simulation
    C. Osborne, M. Guo, C. E. Owens, and W. Matusik · arXiv:2605.13343. 2026preprint
  • HumanScale: Egocentric Human Video Can Outperform Real-Robot Data for Embodied Pretraining
    J. Ma, J. Bi, Y. Deng, X. Zhai, K. Zhang, Y. Huang, B. Liang, S. Gong, J. Tu, X. Tang, J. Li, K. Chen, D. Wang, Y. Wang, B. Kang, E. Huang, Z. Dou, Z. Dong, E. Xie, W. Matusik, T. Chua, and D. Zhou · arXiv:2606.20521. 2026preprint
  • Kinematic Kitbashing
    M. Guo, V. B. Zordan, S. Andrews, W. Matusik, M. Agrawala, and H. D. Liu · SIGGRAPH (Conference Paper Track), 159:1-159:11. 2026
  • Learning Physical Interaction: A Survey of Tactile-and Force-aware Robot Learning
    S. Shan, C. Zhou, R. Wang, X. Chen, X. Chen, X. Zhou, B. Ma, I. Y. Hu, J. Li, et al. (34 authors, including W. Matusik) · arXiv preprint. 2026tech report
  • M-ABD: Scalable, Efficient, and Robust Multi-Affine-Body Dynamics
    Z. He, D. Guo, M. Guo, Y. Zhao, W. Matusik, H. Su, C. Jiang, P. Y. Chen, and Y. Yang · ACM Trans. Graph. 45(4), 99:1-99:19. 2026
  • Neural Statistical Functions
    D. Xu, Y. Xie, M. Guo, H. Wu, and W. Matusik · arXiv:2605.11327. 2026preprint
  • NeuralActuator: Neural Actuation Modeling for Robot Dynamics and External Force PerceptionOutstanding Systems Paper, RSS 2026
    Z. Dou, J. U. Onyemelukwe, H. Zhang, H. Zhang, M. Guo, Y. Tian, M. P. Lipiec, J. Jacob, C. Liu, P. Y. Chen, Y. Ivanov, and W. Matusik · Robotics: Science and Systems. 2026
  • PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement
    Y. Wang, H. Yang, M. Guo, X. Qiu, T. Wang, W. Matusik, J. B. Tenenbaum, and C. Gan · arXiv:2602.14968. 2026preprint
  • Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection
    S. Chen, M. Guo, C. Wang, A. H. Chen, Y. Zhang, J. Chai, Y. Yang, W. Matusik, and P. Y. Chen · ICLR. 2026
  • Protein Structure Tokenization via Geometric Byte Pair Encoding
    M. Sun, W. Yuan, G. Liu, W. Matusik, and M. Zitnik · ICLR. 2026
  • Raiven: LLM-Based Visualization Authoring via Domain-Specific Language Mediation
    A. Irger, E. Hugie, M. Guo, S. Warchol, K. Moreland, D. Pugmire, W. Matusik, and H. Pfister · arXiv:2604.10008. 2026preprint
  • RigidFormer: Learning Rigid Dynamics using Transformers
    Z. Dou, M. Guo, H. Wu, D. Roble, T. Stuyck, and W. Matusik · arXiv:2605.09196. 2026preprint
  • Roadmap for High-Throughput Ceramic Materials Synthesis and Discovery for Batteries
    J. J. Hinricher, K. P. Sokol, P. Simons, K. J. Kim, M. Foshey, Y. Tian, T. Prein, L. J. Miara, E. Olivetti, W. Matusik, and J. L. M. Rupp · Advanced Energy Materials 16(19). 2026
  • RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies
    T. Chen, Y. Chen, Z. Li, J. Tang, K. Su, H. Lu, W. Wan, B. Chen, S. Liu, H. Yan, H. Su, Z. Dou, K. Wang, D. Zhang, Y. Liu, Y. Qin, Q. Liang, Q. Wu, Z. Lin, W. Lin, Y. Wang, M. He, T. Wu, R. Wu, J. Zhou, K. Lei, H. Yu, Y. Ji, W. Jin, G. Lin, X. Li, Q. Xiong, R. Xu, Z. Li, W. Chai, E. Xie, Z. Wang, Y. Mu, H. Dong, W. Matusik, M. Ding, W. Ding, P. Luo, and M. Tomizuka · arXiv:2607.04434. 2026preprint
  • Soft Anisotropic Diagrams for Differentiable Image Representation
    L. Iinbor, Z. Dou, and W. Matusik · ACM Trans. Graph. 45(4), 158:1-158:19. 2026
  • UMO: Unified In-Context Learning Unlocks Motion Foundation Model Priors
    X. Cong, Z. Li, Z. Dou, H. Li, O. Taheri, C. Guo, A. Mittal, S. An, T. Komura, W. Matusik, M. J. Black, and S. Sridhar · arXiv:2603.15975. 2026preprint
  • Unified Representation, Design, and Exploration of High-Performance Metamaterials
    Liane Makatura · MIT
  • WiReSens Toolkit: An Open-source Platform towards Accessible Wireless Tactile Sensing
    D. Murphy, J. Zhu, A. Gadre, A. Torralba, P. P. Liang, W. Matusik, and Y. Luo · TEI, 27:1-27:15. 2026
  • WorldParticle: Unified World Simulation of Lagrangian Particle Dynamics via Transformer
    C. Wang, M. Guo, S. Chen, H. Zhang, M. Wang, X. Ni, H. Sun, K. Wang, Z. Pan, K. Wu, L. Liu, Y. Yang, C. Jiang, T. Komura, W. Matusik, and P. Y. Chen · arXiv:2605.15305. 2026preprint

2025

  • 3DPR: Single Image 3D Portrait Relighting with Generative Priors
    P. Rao, A. Meka, X. Zhou, G. Fox, M. B. R., F. Zhan, T. Weyrich, B. Bickel, H. Pfister, W. Matusik, T. Beeler, M. A. Elgharib, M. Habermann, and C. Theobalt · SIGGRAPH Asia, 108:1-108:12. 2025
  • A Solver-Aided Hierarchical Language for LLM-Driven CAD Design
    B. T. Jones, Z. Zhang, F. Hähnlein, W. Matusik, M. B. S. Ahmad, V. G. Kim, and A. Schulz · Comput. Graph. Forum 44(7). 2025
  • Adaptive Walker: User Intention and Terrain Aware Intelligent Walker with High-Resolution Tactile and IMU Sensor
    Y. Choi, S. Hwang, J. Moon, H. Lee, D. Yeo, M. Seong, Y. Luo, S. Kim, W. Matusik, D. Rus, and K. Kim · ICRA, 734-740. 2025
  • Advancing Ubiquitous Tactile Sensing through Comprehensive Tooling for Resistive Matrix-Based Sensors
    Devin Murphy · MIT
  • AI-Enhanced Automatic Design of Efficient Underwater Gliders
    P. Y. Chen, P. Ma, N. Hagemann, J. Romanishin, W. Wang, D. Rus, and W. Matusik · ICRA, 1-7. 2025
  • AI-Guided Biomarker Panel Discovery and µChromaDot Array in a Handheld Multiplex Diagnostics
    Z. Lin, C. Tang, Y. Kong, Y. Peng, N. Jiang, S. Zhou, Y. Zhang, S. Korupolu, B. Jana, S. Gao, Y. Li, Z. Wang, C. Liang, Q. Zhang, Y. Liang, R. Saxena, W. Shou, W. Matusik, C. L. Evans, T. Wu, and M. X. Wu · medRxiv, 2025 (v2)tech report
  • Building World Models with Neural Physics
    Pingchuan Ma · MIT
  • Directed Graph Grammars for Sequence-based Learning
    M. Sun, O. Foo, G. Liu, W. Matusik, and J. Chen · ICML. 2025
  • Effective Data-Driven Multi-Criteria Optimization of Black-Box Processes: A Case Study of Pbf-Lb/M of a Magnesium Alloy
    A. Pawlak, Y. Tian, and W. Matusik · SSRN preprint. 2025tech report
  • Electronic-Free Particle Robots Communicate through Architected Tentacles
    X. Yang, B. Wang, V. R. Naranjo, M. Guo, O. Rivera, L. Sopizhenko, S. Li, W. T. Freeman, W. Matusik, and B. Deng · Adv. Intell. Syst. 7(12). 2025
  • Enhancing Robotic Manipulation of Liquid Using a Digitally Fabricated Intelligent Wearable Device
    Young Lee · MIT
  • Fabrica: Dual-Arm Assembly of General Multi-Part Objects via Integrated Planning and LearningBest Paper, CoRL 2025
    Y. Tian, J. Jacob, Y. Huang, J. Zhao, E. Gu, P. Ma, A. Zhang, F. Javid, B. Romero, S. Chitta, S. Sueda, H. Li, and W. Matusik · CoRL, 406-419. 2025
  • Fits like a Flex-Glove: Automatic Design of Personalized FPCB-Based Tactile Sensing Gloves
    D. Murphy, Y. Li, C. E. Owens, L. Stanton, P. P. Liang, Y. Luo, A. Torralba, and W. Matusik · CHI Extended Abstracts, 280:1-280:8. 2025
  • FlashBias: Fast Computation of Attention with Bias
    H. Wu, M. Guo, Y. Ma, Y. Sun, J. Wang, W. Matusik, and M. Long · NeurIPS, 23525-23552. 2025
  • Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages
    M. Sun, W. Yuan, G. Liu, W. Matusik, and J. Chen · ICML. 2025
  • Graphics4Science: Computer Graphics for Scientific Impacts
    P. Y. Chen, M. Guo, H. Pfister, M. Lin, W. T. Freeman, Q. Huang, H.-W. Shen, and W. Matusik · ACM SIGGRAPH Course. Course notes on arXiv:2506.15786
  • Kolmogorov-Arnold Networks Meet Science
    Z. Liu, M. Tegmark, P. Ma, W. Matusik, and Y. Wang · Physical Review X 15(4). 2025
  • Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction
    P. Y. Chen, C. Liu, P. Ma, J. Eastman, D. Rus, D. Randle, Y. Ivanov, and W. Matusik · ICRA, 5997-6004. 2025
  • MetaGen: A DSL, Database, and Benchmark for VLM-Assisted Metamaterial Generation
    L. Makatura, B. T. Jones, S. Bian, and W. Matusik · arXiv:2508.17568. 2025preprint
  • Modular Self-Reconfigurable Continuum Robot for General Purpose Loco-Manipulation
    Y. Cai, H. Xu, Y. Wang, D. Chen, W. Matusik, W. Shou, and Y. Chen · IEEE Robotics Autom. Lett. 10(2), 1976-1983. 2025
  • Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning
    G. Liu, M. Sun, W. Matusik, M. Jiang, and J. Chen · ICLR. 2025
  • Neural Modular Physics for Elastic Simulation
    Y. Li, H. Wu, Z. Xu, T. Stuyck, and W. Matusik · arXiv:2512.15083. 2025preprint
  • Newton to Einstein: Axiom-Based Discovery via Game Design
    P. Ma, B. T. Jones, T. Wang, M. Guo, M. P. Lipiec, C. Gan, and W. Matusik · arXiv:2509.05448. 2025preprint
  • OPENTOUCH: Bringing Full-Hand Touch to Real-World Interaction
    Y. R. Song, J. Li, R. Fu, D. Murphy, K. Zhou, R. Shiv, Y. Li, H. Xiong, C. E. Owens, Y. Du, Y. Luo, X. Cheng, A. Torralba, W. Matusik, and P. P. Liang · arXiv:2512.16842. 2025preprint
  • Post Hoc Regression Refinement via Pairwise Rankings
    K. T. Wijaya, M. Sun, M. Guo, H. Seidel, W. Matusik, and V. Babaei · NeurIPS, 599-623. 2025
  • Procedural Synthesis of Synthesizable Molecules
    M. Sun, A. Lo, M. Guo, J. Chen, C. W. Coley, and W. Matusik · ICLR. 2025
  • Quality-Centric Single-Image Procedural Material Generation
    Beichen Li · MIT
  • Scalable Assembly of General Objects
    Yunsheng Tian · MIT
  • Scaling Law for Intrinsic Fracture Energy of Diverse Stretchable Networks
    C. Hartquist, S. Wang, Q. Cui, W. Matusik, B. Deng, and X. Zhao · Physical Review X 15(1). 2025
  • SemanticOpt: Towards LLM-Based Semantic Black-Box Optimization
    J. Meindl, Y. Tian, T. Cui, V. Thost, Z. Hong, J. Chen, W. Matusik, and M. Konakovic-Lukovic · arXiv:2510.25404. 2025preprint
  • TelePulse: Enhancing the Teleoperation Experience through Biomechanical Simulation-Based Electrical Muscle Stimulation in Virtual RealityBest Paper, ACM CHI 2025
    S. Hwang, S. Kang, J. Oh, J. Park, S. Shin, Y. Luo, J. DelPreto, S. Lee, K. Lee, W. Matusik, D. Rus, and S. Kim · CHI, 365:1-365:26. 2025
  • TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes
    M. Guo, B. Wang, K. He, and W. Matusik · ICLR. 2025
  • Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimization
    Jamison Meindl · MIT
  • Two-Stage Pretraining for Molecular Property Prediction in the Wild
    K. T. Wijaya, M. Guo, M. Sun, H. Seidel, W. Matusik, and V. Babaei · GenBio Workshop, ICML. 2025
  • VLMaterial: Procedural Material Generation with Large Vision-Language Models
    B. Li, R. Wu, A. Solar-Lezama, C. Zheng, L. Shi, B. Bickel, and W. Matusik · ICLR. 2025
  • ZeroShotOpt: Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimization
    J. Meindl, Y. Tian, T. Cui, V. Thost, Z. Hong, J. P. Dürholt, J. Chen, W. Matusik, and M. Konakovic-Lukovic · arXiv:2510.03051. 2025preprint

2024

  • A Deeper Analysis of Volumetric Relightable Faces
    P. Rao, M. B. R., G. Fox, T. Weyrich, B. Bickel, H. Pfister, W. Matusik, F. Zhan, A. Tewari, C. Theobalt, and M. A. Elgharib · Int. J. Comput. Vis. 132(4), 1148-1166. 2024
  • Adaptive In-Vehicle Virtual Reality for Reducing Motion Sickness: Manipulating Passenger Posture During Driving Events
    A. Elsharkawy, A. Ataya, D. Yeo, M. Seong, S. Hwang, J. DelPreto, W. Matusik, D. Rus, and S. Kim · UbiComp Companion, 832-836. 2024
  • Adaptive tactile interaction transfer via digitally embroidered smart glovesNature Communications
    Y. Luo, C. Liu, Y. J. Lee, J. DelPreto, K. Wu, M. Foshey, D. Rus, T. Palacios, Y. Li, A. Torralba, and W. Matusik · Nature Communications 15(1). 2024
  • ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility
    Y. Tian, K. D. D. Willis, B. A. Omari, J. Luo, P. Ma, Y. Li, F. Javid, E. Gu, J. Jacob, S. Sueda, H. Li, S. Chitta, and W. Matusik · ICRA, 4380-4386. 2024
  • Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints
    Y. Tian, A. Zuniga, X. Zhang, J. P. Dürholt, P. Das, J. Chen, W. Matusik, and M. Konakovic-Lukovic · ICML, 48295-48320. 2024
  • Category-Level Multi-Part Multi-Joint 3D Shape Assembly
    Y. Li, K. Mo, Y. Duan, H. Wang, J. Zhang, L. Shao, W. Matusik, and L. J. Guibas · CVPR, 3281-3291. 2024
  • Closing the Execution Gap in Generative AI for Chemicals and Materials: Freeways or Safeguards
    A. Subramanian, W. Gao, R. Barzilay, J. C. Grossman, T. Jaakkola, S. Jegelka, M. Li, J. Li, W. Matusik, E. Olivetti, C. W. Coley, and R. Gomez-Bombarelli · An MIT Exploration of Generative AI. 2024tech report
  • Computational discovery of microstructured composites with optimal stiffness-toughness trade-offsScience Advances
    B. Li, B. Deng, W. Shou, T. Oh, Y. Hu, Y. Luo, L. Shi, and W. Matusik · Science Advances 10(5), eadk4284. 2024
  • Configurable Holography: Towards Display and Scene Adaptation
    Y. Zhan, L. Shi, W. Matusik, Q. Sun, and K. Aksit · arXiv:2405.01558. 2024preprint
  • DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation
    Y. Li, H. Chen, E. Larionov, N. Sarafianos, W. Matusik, and T. Stuyck · CVPR, 4368-4378. 2024
  • Electronic Skin: Opportunities and Challenges in Convergence with Machine Learning
    J. H. Koo, Y. J. Lee, H. J. Kim, W. Matusik, D. Kim, and H. Jeong · Annual Review of Biomedical Engineering 26(1), 331-355. 2024
  • Enhancing Brightness with Multi-Color Holography
    K. Kavaklı, L. Shi, H. Urey, W. Matusik, and K. Akşit · SID Symposium Digest of Technical Papers 55(1), 809-812. 2024
  • Ergonomic-Centric Holography: Optimizing Realism, Immersion, and Comfort for Holographic Display
    L. Shi, D. Ryu, and W. Matusik · Laser & Photonics Reviews 18(4). 2024
  • Exploring Potential Application Areas of Artificial Intelligence-Infused System for Engagement Recognition: Insights from Special Education Experts
    W. Kim, M. Seong, J. DelPreto, W. Matusik, D. Rus, and S. Kim · UbiComp Companion, 803-808. 2024
  • How Can Large Language Models Help Humans in Design and Manufacturing? Part 1: Elements of the LLM-Enabled Computational Design and Manufacturing Pipeline
    L. Makatura, M. Foshey, B. Wang, F. Hähnlein, P. Ma, B. Deng, M. Tjandrasuwita, A. Spielberg, C. E. Owens, P. Y. Chen, A. Zhao, A. Zhu, W. J. Norton, E. Gu, J. Jacob, Y. Li, A. Schulz, and W. Matusik · Harvard Data Science Review. 2024
  • How Can Large Language Models Help Humans in Design and Manufacturing? Part 2: Synthesizing an End-to-End LLM-Enabled Design and Manufacturing Workflow
    L. Makatura, M. Foshey, B. Wang, F. Hähnlein, P. Ma, B. Deng, M. Tjandrasuwita, A. Spielberg, C. E. Owens, P. Y. Chen, A. Zhao, A. Zhu, W. J. Norton, E. Gu, J. Jacob, Y. Li, A. Schulz, and W. Matusik · Harvard Data Science Review. 2024
  • Intelligent Seat: Tactile Signal-Based 3D Sitting Pose Inference
    M. Seong, G. Kim, J. Lee, J. DelPreto, W. Matusik, D. Rus, and S. Kim · UbiComp Companion, 791-796. 2024
  • Intelligent Textiles for Physical Interactions
    Yiyue Luo · MIT
  • Large Language Models for Design and Manufacturing
    L. Makatura, M. Foshey, B. Wang, F. Hähnlein, P. Ma, B. Deng, M. Tjandrasuwita, A. Spielberg, C. E. Owens, P. Y. Chen, A. Zhao, A. Zhu, W. J. Norton, E. Gu, J. Jacob, Y. Li, A. Schulz, and W. Matusik · An MIT Exploration of Generative AI. 2024tech report
  • Learning to Jointly Understand Visual and Tactile Signals
    Y. Li, Y. Du, C. Liu, C. Liu, F. Williams, M. Foshey, B. Eckart, J. Kautz, J. B. Tenenbaum, A. Torralba, and W. Matusik · ICLR. 2024
  • LegSense: Inducing Walking Sensation in Seated VR by Providing Movement Illusion via Electrical Muscle Stimulation
    J. Um, E. Jeon, Y. Kang, S. Kang, A. Elsharkawy, J. DelPreto, W. Matusik, D. Rus, and S. Kim · UbiComp Companion, 797-802. 2024
  • Liquids Identification and Manipulation via Digitally Fabricated Impedance Sensors
    J. Zhu, Y. J. Lee, Y. Luo, T. Xu, C. Liu, D. Rus, S. Mueller, and W. Matusik · ICRA, 18164-18171. 2024
  • Lite2Relight: 3D-aware Single Image Portrait Relighting
    P. Rao, G. Fox, A. Meka, M. B. R., F. Zhan, T. Weyrich, B. Bickel, H. Pfister, W. Matusik, M. A. Elgharib, and C. Theobalt · SIGGRAPH (Conference Paper Track). 2024
  • LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
    P. Ma, T. Wang, M. Guo, Z. Sun, J. B. Tenenbaum, D. Rus, C. Gan, and W. Matusik · ICML, 33940-33962. 2024
  • Medial Skeletal Diagram: A Generalized Medial Axis Approach for Compact 3D Shape Representation
    M. Guo, B. Wang, and W. Matusik · ACM Trans. Graph. 43(6), 217:1-217:23. 2024
  • MeMo: Meaningful, Modular Controllers via Noise Injection
    M. Tjandrasuwita, J. Xu, A. Solar-Lezama, and W. Matusik · NeurIPS, 18729-18757. 2024
  • MeMo: Meaningful, Modular Controllers via Noise Injection
    Megan Tjandrasuwita · MIT
  • MultiSenseBadminton: Wearable Sensor--Based Biomechanical Dataset for Evaluation of Badminton Performance
    M. Seong, G. Kim, D. Yeo, Y. Kang, H. Yang, J. DelPreto, W. Matusik, D. Rus, and S. Kim · Scientific Data 11(1). 2024
  • NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation
    Y. Li, Y. Sun, P. Ma, E. Sifakis, T. Du, B. Zhu, and W. Matusik · NeurIPS, 84944-84967. 2024
  • Physically Compatible 3D Object Modeling from a Single Image
    M. Guo, B. Wang, P. Ma, T. Zhang, C. E. Owens, C. Gan, J. B. Tenenbaum, K. He, and W. Matusik · NeurIPS, 119260-119282. 2024
  • Procedural Material Generation with Reinforcement Learning
    B. Li, Y. Hu, P. Guerrero, M. Hasan, L. Shi, V. Deschaintre, and W. Matusik · ACM Trans. Graph. 43(6), 280:1-280:14. 2024
  • Proposal of a Framework for Enhancing Teleoperation Experience with Biomechanical Simulation-Based Electrical Muscle Stimulation in Virtual Reality
    S. Hwang, S. Kang, J. Oh, J. Park, S. Shin, Y. Luo, J. DelPreto, W. Matusik, D. Rus, and S. Kim · UbiComp Companion, 826-831. 2024
  • Recovery of Herschel-Bulkley Fluid Parameters from Video via Differentiable Simulations
    John Eastman · MIT
  • Replicating Human Anatomy with Vision Controlled Jetting - A Pneumatic Musculoskeletal Hand and Forearm
    T. J. K. Buchner, S. Weirich, A. M. Kübler, W. Matusik, and R. K. Katzschmann · RoboSoft, 183-189. 2024
  • Representing Molecules as Random Walks Over Interpretable Grammars
    M. Sun, M. Guo, W. Yuan, V. Thost, C. E. Owens, A. F. Grosz, S. Selvan, K. Zhou, H. Mohiuddin, B. J. Pedretti, Z. P. Smith, J. Chen, and W. Matusik · ICML, 46988-47016. 2024
  • Robot Graph Grammars: Towards Custom Robots for Every Task
    Allan Zhao · MIT
  • Sensor2Text: Enabling Natural Language Interactions for Daily Activity Tracking Using Wearable Sensors
    W. Chen, J. Cheng, L. Wang, W. Zhao, and W. Matusik · Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(4), 192:1-192:26. 2024
  • Towards Passing Visual Turing Test with Computational 3D Displays and Appearance Modeling
    Liang Shi · MIT
  • ViObject: Harness Passive Vibrations for Daily Object Recognition with Commodity Smartwatches
    W. Chen, S. Lin, Z. Peng, F. S. Parizi, S. Heo, S. N. Patel, W. Matusik, W. Zhao, and J. A. Stankovic · Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(1), 5:1-5:26. 2024

2023

  • Advanced soft robot modeling in ChainQueen
    A. Spielberg, T. Du, Y. Hu, D. Rus, and W. Matusik · Robotica 41(1), 74-104. 2023
  • CAvatar: Real-time Human Activity Mesh Reconstruction via Tactile Carpets
    W. Chen, Y. Hu, W. Song, Y. Liu, A. Torralba, and W. Matusik · Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(4), 151:1-151:24. 2023
  • Dense, Interlocking-Free and Scalable Spectral Packing of Generic 3D Objects
    Q. Cui, V. Rong, D. Chen, and W. Matusik · ACM Trans. Graph. 42(4), 141:1-141:14. 2023
  • DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact
    Y. Li, T. Du, K. Wu, J. Xu, and W. Matusik · ACM Trans. Graph. 42(1), 2:1-2:20. 2023
  • Efficient Continuous Pareto Exploration in Multi-Task Learning
    Pingchuan Ma · MIT
  • Embroidered Multi-Modal Sensing Arrays for Tactual Perception
    Michael Foshey · MIT
  • End-to-end Procedural Material Capture with Proxy-Free Mixed-Integer Optimization
    B. Li, L. Shi, and W. Matusik · ACM Trans. Graph. 42(4), 153:1-153:15. 2023
  • Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
    M. Guo, V. Thost, S. W. Song, A. Balachandran, P. Das, J. Chen, and W. Matusik · ICML, 12055-12076. 2023
  • Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics
    P. Ma, P. Y. Chen, B. Deng, J. B. Tenenbaum, T. Du, C. Gan, and W. Matusik · ICML, 23279-23300. 2023
  • Learning Preconditioners for Conjugate Gradient PDE Solvers
    Y. Li, P. Y. Chen, T. Du, and W. Matusik · ICML, 19425-19439. 2023
  • MagKnitic: Machine-knitted Passive and Interactive Haptic Textiles with Integrated Binary Sensing
    Y. Luo, J. Zhu, K. Wu, C. Honnet, S. Mueller, and W. Matusik · UIST, 66:1-66:13. 2023
  • Multi-color Holograms Improve Brightness in Holographic Displays
    K. Kavakli, L. Shi, H. Urey, W. Matusik, and K. Aksit · SIGGRAPH Asia, 20:1-20:11. 2023
  • Neural Stress Fields for Reduced-order Elastoplasticity and Fracture
    Z. Zong, X. Li, M. Li, M. M. Chiaramonte, W. Matusik, E. Grinspun, K. Carlberg, C. Jiang, and P. Y. Chen · SIGGRAPH Asia, 78:1-78:11. 2023
  • Novel Embroidered Actuator Fabrication and Design Optimization
    Sylvia Waft · MIT
  • Procedural Metamaterials: A Unified Procedural Graph for Metamaterial Design
    L. Makatura, B. Wang, Y. Chen, B. Deng, C. Wojtan, B. Bickel, and W. Matusik · ACM Trans. Graph. 42(5), 168:1-168:19. 2023
  • Robust Finger Interactions with COTS Smartwatches via Unsupervised Siamese Adaptation
    W. Chen, Z. Wang, P. Quan, Z. Peng, S. Lin, M. B. Srivastava, W. Matusik, and J. A. Stankovic · UIST, 25:1-25:14. 2023
  • Seamless-walk: natural and comfortable virtual reality locomotion method with a high-resolution tactile sensor
    Y. Choi, D. Park, S. Lee, I. Han, E. Akan, H. Jeon, Y. Luo, S. Kim, W. Matusik, D. Rus, and K. Kim · Virtual Real. 27(2), 1431-1445. 2023
  • The Effects of Pre-Training and Fine-Tuning CLIP with Domain-Specific Data
    Jialan Wang · MIT
  • A 3D printed robotic hand with tendons and compliant joints
    Vision-controlled jetting for composite systems and robotsNature
    T. J. K. Buchner, S. Rogler, S. Weirich, Y. Armati, B. G. Cangan, J. Ramos, S. T. Twiddy, D. M. Marini, A. Weber, D. Chen, G. Ellson, J. Jacob, W. Zengerle, D. Katalichenko, C. Keny, W. Matusik, and R. K. Katzschmann · Nature 623(7987), 522-530. 2023

2022

  • 3D printing of polymer composites: Materials, processes, and applications
    S. Park, W. Shou, L. Makatura, W. Matusik, and K. Fu · Matter 5(1), 43-76. 2022
  • Accelerated Policy Learning with Parallel Differentiable Simulation
    J. Xu, V. Makoviychuk, Y. Narang, F. Ramos, W. Matusik, A. Garg, and M. Macklin · ICLR. 2022
  • ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment
    J. DelPreto, C. Liu, Y. Luo, M. Foshey, Y. Li, A. Torralba, W. Matusik, and D. Rus · NeurIPS, 13800-13813. 2022
  • An Integrated Design Pipeline for Tactile Sensing Robotic Manipulators
    L. Zlokapa, Y. Luo, J. Xu, M. Foshey, K. Wu, P. Agrawal, and W. Matusik · ICRA, 3136-3142. 2022
  • An Integrated Design Pipeline for Tactile Sensing Robotic Manipulators
    Lara Zlokapa · MIT
  • Assemble Them All: Physics-Based Planning for Generalizable Assembly by Disassembly
    Y. Tian, J. Xu, Y. Li, J. Luo, S. Sueda, H. Li, K. D. D. Willis, and W. Matusik · ACM Trans. Graph. 41(6), 278:1-278:11. 2022
  • Automatic Co-Design of Aerial Robots Using a Graph Grammar
    A. Zhao, T. Du, J. Xu, J. Hughes, J. Salazar, P. Ma, W. Wang, D. Rus, and W. Matusik · IROS, 11260-11267. 2022
  • Closed-loop control of direct ink writing via reinforcement learning
    M. Piovarci, M. Foshey, J. Xu, T. Erps, V. Babaei, P. Didyk, S. Rusinkiewicz, W. Matusik, and B. Bickel · ACM Trans. Graph. 41(4), 112:1-112:10. 2022
  • Data-Efficient Graph Grammar Learning for Molecular Generation
    M. Guo, V. Thost, B. Li, P. Das, J. Chen, and W. Matusik · ICLR. 2022
  • DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact
    Yifei Li · MIT
  • DiffPD: Differentiable Projective Dynamics
    T. Du, K. Wu, P. Ma, S. Wah, A. Spielberg, D. Rus, and W. Matusik · ACM Trans. Graph. 41(2), 13:1-13:21. 2022
  • Digital Fabrication of Pneumatic Actuators with Integrated Sensing by Machine Knitting
    Y. Luo, K. Wu, A. Spielberg, M. Foshey, D. Rus, T. Palacios, and W. Matusik · CHI, 175:1-175:13. 2022
  • Efficient Tactile Simulation with Differentiability for Robotic Manipulation
    J. Xu, S. Kim, T. Chen, A. R. Garcia, P. Agrawal, W. Matusik, and S. Sueda · CoRL, 1488-1498. 2022
  • End-to-end learning of 3D phase-only holograms for holographic display
    L. Shi, B. Li, and W. Matusik · Light: Science & Applications 11(1), 247. 2022
  • Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models
    E. Nava, J. Z. Zhang, M. Y. Michelis, T. Du, P. Ma, B. F. Grewe, W. Matusik, and R. K. Katzschmann · ICML, 16413-16427. 2022
  • Fluidic Topology Optimization with an Anisotropic Mixture Model
    Y. Li, T. Du, S. G. Srinivasan, K. Wu, B. Zhu, E. Sifakis, and W. Matusik · ACM Trans. Graph. 41(6), 239:1-239:14. 2022
  • Garment Design Workflows for On-Demand Machine Knitting
    Alexandre Kaspar · MIT
  • Graph Grammar-Based Automatic Design for Heterogeneous Fleets of Underwater Robots
    A. Zhao, J. Xu, J. Salazar, W. Wang, P. Ma, D. Rus, and W. Matusik · ICRA, 3143-3149. 2022
  • JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints
    K. D. D. Willis, P. K. Jayaraman, H. Chu, Y. Tian, Y. Li, D. Grandi, A. Sanghi, L. Tran, J. G. Lambourne, A. Solar-Lezama, and W. Matusik · CVPR, 15828-15839. 2022
  • Polygrammar: Grammar for Digital Polymer Representation and Generation
    M. Guo, W. Shou, L. Makatura, T. Erps, M. Foshey, and W. Matusik · Advanced Science 9(23). 2022
  • RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
    P. Ma, T. Du, J. B. Tenenbaum, W. Matusik, and C. Gan · ICLR. 2022
  • Seamless-walk: Novel Natural Virtual Reality Locomotion Method with a High-Resolution Tactile Sensor
    Y. Choi, H. Jeon, S. Lee, I. Han, Y. Luo, S. Kim, W. Matusik, and K. Kim · IEEE VR Workshops, 696-697. 2022
  • Self-powered sensing systems with learning capability
    A. Alagumalai, W. Shou, O. Mahian, M. Aghbashlo, M. Tabatabaei, S. Wongwises, Y. Liu, J. Zhan, A. Torralba, J. Chen, Z. Wang, and W. Matusik · Joule 6(7), 1475-1500. 2022
  • Sim2Real for Soft Robotic Fish via Differentiable Simulation
    J. Z. Zhang, Y. Zhang, P. Ma, E. Nava, T. Du, P. Arm, W. Matusik, and R. K. Katzschmann · IROS, 12598-12605. 2022
  • Towards Computational Design of Shape and Control for Rigid Robots
    Jie Xu · MIT
  • VoRF: Volumetric Relightable FacesBest Paper Honorable Mention, BMVC 2022
    P. Rao, M. B. R., G. Fox, T. Weyrich, B. Bickel, H. Pfister, W. Matusik, A. Tewari, C. Theobalt, and M. A. Elgharib · BMVC, 708. 2022

2021

  • Accelerated discovery of 3D printing materials using data-driven multiobjective optimizationScience Advances
    T. Erps, M. Foshey, M. K. Luković, W. Shou, H. H. Goetzke, H. Dietsch, K. Stoll, B. von Vacano, and W. Matusik · Science Advances 7(42). 2021
  • An End-to-End Differentiable Framework for Contact-Aware Robot Design
    J. Xu, T. Chen, L. Zlokapa, M. Foshey, W. Matusik, S. Sueda, and P. Agrawal · Robotics: Science and Systems. 2021
  • Automating Pareto-Optimal Experiment Design via Efficient Bayesian Optimization
    Yunsheng Tian · MIT
  • AutoOED: Automated Optimal Experiment Design Platform
    Y. Tian, M. Konakovic-Lukovic, T. Erps, M. Foshey, and W. Matusik · arXiv:2104.05959. 2021preprint
  • Co-Learning of Task and Sensor Placement for Soft Robotics
    A. Spielberg, A. Amini, L. Chin, W. Matusik, and D. Rus · IEEE Robotics Autom. Lett. 6(2), 1208-1215. 2021
  • Co-Optimization and Co-Learning Methods for Automated Design of Rigid and Soft Robots
    Andrew Spielberg · MIT
  • Computational Discovery of Microstructured Composites with Optimized Trade-Off between Strength and Toughness
    Beichen Li · MIT
  • Designing Composites with Target Effective Young's Modulus using Reinforcement Learning
    A. E. Gongora, S. Mysore, B. Li, W. Shou, W. Matusik, E. F. Morgan, K. A. Brown, and E. Whiting · SCF, 2:1-2:11. 2021
  • DiffAqua: a differentiable computational design pipeline for soft underwater swimmers with shape interpolation
    P. Ma, T. Du, J. Z. Zhang, K. Wu, A. Spielberg, R. K. Katzschmann, and W. Matusik · ACM Trans. Graph. 40(4), 132:1-132:14. 2021
  • Differentiable Simulation Methods for Robotic Agent Design
    Tao Du · MIT
  • Dynamic Modeling of Hand-Object Interactions via Tactile Sensing
    Q. Zhang, Y. Li, Y. Luo, W. Shou, M. Foshey, J. Yan, J. B. Tenenbaum, W. Matusik, and A. Torralba · IROS, 2874-2881. 2021
  • Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots
    J. S. Bhatia, H. Jackson, Y. Tian, J. Xu, and W. Matusik · NeurIPS, 2201-2214. 2021
  • Intelligent Carpet: Inferring 3D Human Pose From Tactile Signals
    Y. Luo, Y. Li, M. Foshey, W. Shou, P. Sharma, T. Palacios, A. Torralba, and W. Matusik · CVPR, 11250-11260. 2021
  • Knit sketching: from cut & sew patterns to machine-knit garments
    A. Kaspar, K. Wu, Y. Luo, L. Makatura, and W. Matusik · ACM Trans. Graph. 40(4), 63:1-63:15. 2021
  • KnitUI: Fabricating Interactive and Sensing Textiles with Machine KnittingBest Paper Honorable Mention, ACM CHI 2021
    Y. Luo, K. Wu, T. Palacios, and W. Matusik · CHI, 668:1-668:12. 2021
  • Learning human--environment interactions using conformal tactile textilesNature Electronics
    Y. Luo, Y. Li, P. Sharma, W. Shou, K. Wu, M. Foshey, B. Li, T. Palacios, A. Torralba, and W. Matusik · Nature Electronics 4(3), 193-201. 2021
  • Monocular Reconstruction of Neural Face Reflectance Fields
    M. B. R., A. Tewari, T. Oh, T. Weyrich, B. Bickel, H. Seidel, H. Pfister, W. Matusik, M. A. Elgharib, and C. Theobalt · CVPR, 4789-4798. 2021
  • Multi-Objective Graph Heuristic Search for Terrestrial Robot Design
    J. Xu, A. Spielberg, A. Zhao, D. Rus, and W. Matusik · ICRA, 9863-9869. 2021
  • Pareto gamuts: exploring optimal designs across varying contexts
    L. Makatura, M. Guo, A. Schulz, J. Solomon, and W. Matusik · ACM Trans. Graph. 40(4), 171:1-171:17. 2021
  • PhotoApp: photorealistic appearance editing of head portraits
    M. B. R., A. Tewari, A. Dib, T. Weyrich, B. Bickel, H. Seidel, H. Pfister, W. Matusik, L. Chevallier, M. A. Elgharib, and C. Theobalt · ACM Trans. Graph. 40(4), 44:1-44:16. 2021
  • Thousands of rendered objects from the MIT-CGH-4K holography dataset
    Towards real-time photorealistic 3D holography with deep neural networksNature
    L. Shi, B. Li, C. Kim, P. Kellnhofer, and W. Matusik · Nature 591(7849), 234-239. 2021
  • Underwater Soft Robot Modeling and Control With Differentiable Simulation
    T. Du, J. Hughes, S. Wah, W. Matusik, and D. Rus · IEEE Robotics Autom. Lett. 6(3), 4994-5001. 2021

2020

  • A Method For Fabricating An Organic Photovoltaic Cell With Entirely 3D Printed Information Control
    James Minor · MIT
  • A Simple, Inexpensive, Wearable Glove with Hybrid Resistive-Pressure Sensors for Computational Sensing, Proprioception, and Task Identification
    J. Hughes, A. Spielberg, M. Chounlakone, G. Chang, W. Matusik, and D. Rus · Adv. Intell. Syst. 2(6), 2000002. 2020
  • Discovering the patterns of human-environment interactions using scalable functional textiles
    Yiyue Luo · MIT
  • Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations
    M. Konakovic-Lukovic, Y. Tian, and W. Matusik · NeurIPS. 2020
  • Efficient Continuous Pareto Exploration in Multi-Task Learning
    P. Ma, T. Du, and W. Matusik · ICML, 6522-6531. 2020
  • Evolutionary Black-Box Topology Optimization: Challenges and Promises
    D. Guirguis, N. Aulig, R. Picelli, B. Zhu, Y. Zhou, W. Vicente, F. Iorio, M. Olhofer, W. Matusik, C. A. C. Coello, and K. Saitou · IEEE Trans. Evol. Comput. 24(4), 613-633. 2020
  • Functional optimization of fluidic devices with differentiable stokes flow
    T. Du, K. Wu, A. Spielberg, W. Matusik, B. Zhu, and E. Sifakis · ACM Trans. Graph. 39(6), 197:1-197:15. 2020
  • Laser-Induced Tar-Mediated Sintering of Metals and Refractory Carbides in Air
    X. Zang, K. Tai, C. Jian, W. Shou, W. Matusik, N. Ferralis, and J. C. Grossman · ACS Nano 14(8), 10413-10420. 2020
  • Match: differentiable material graphs for procedural material capture
    L. Shi, B. Li, M. Hasan, K. Sunkavalli, T. Boubekeur, R. Mech, and W. Matusik · ACM Trans. Graph. 39(6), 196:1-196:15. 2020
  • Pareto Gamuts: Exploring Optimal Designs Across Varying Contexts
    Liane Makatura · MIT
  • Physical Realization of Elastic Cloaking with a Polar Material
    X. Xu, C. Wang, W. Shou, Z. Du, Y. Chen, B. Li, W. Matusik, N. Hussein, and G. Huang · Physical Review Letters 124(11). 2020
  • Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
    J. Xu, Y. Tian, P. Ma, D. Rus, S. Sueda, and W. Matusik · ICML, 10607-10616. 2020
  • RoboGrammar: graph grammar for terrain-optimized robot design
    A. Zhao, J. Xu, M. Konakovic-Lukovic, J. Hughes, A. Spielberg, D. Rus, and W. Matusik · ACM Trans. Graph. 39(6), 188:1-188:16. 2020
  • Towards spatially varying gloss reproduction for 3D printing
    M. Piovarci, M. Foshey, V. Babaei, S. Rusinkiewicz, W. Matusik, and P. Didyk · ACM Trans. Graph. 39(6), 206:1-206:13. 2020

2019

  • ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics
    Y. Hu, J. Liu, A. Spielberg, J. B. Tenenbaum, W. T. Freeman, J. Wu, D. Rus, and W. Matusik · ICRA, 6265-6271. 2019
  • Computational Controller Design for Hybrid UAVs with Reinforcement Learning
    Jie Xu · MIT
  • Computational Fabrication
    W. Matusik and colleagues · ACM SIGGRAPH Course. First author
  • Gaze360: Physically Unconstrained Gaze Estimation in the Wild
    P. Kellnhofer, A. Recasens, S. Stent, W. Matusik, and A. Torralba · ICCV, 6911-6920. 2019
  • High Resolution Neural Frontal Face Synthesis from Face Encodings using Adversarial Loss
    Andy Wang · MIT
  • Interactive Exploration of Design Space
    Harrison Wang · MIT
  • Knitting Skeletons: A Computer-Aided Design Tool for Shaping and Patterning of Knitted Garments
    A. Kaspar, L. Makatura, and W. Matusik · UIST, 53-65. 2019
  • A knitted glove covered by a dense array of tactile sensors
    Learning the signatures of the human grasp using a scalable tactile gloveNature
    S. Sundaram, P. Kellnhofer, Y. Li, J. Zhu, A. Torralba, and W. Matusik · Nature 569(7758), 698-702. 2019
  • Learning to fly: computational controller design for hybrid UAVs with reinforcement learning
    J. Xu, T. Du, M. Foshey, B. Li, B. Zhu, A. Schulz, and W. Matusik · ACM Trans. Graph. 38(4), 42:1-42:12. 2019
  • Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations
    A. Spielberg, A. Zhao, Y. Hu, T. Du, W. Matusik, and D. Rus · NeurIPS, 8282-8292. 2019
  • Neural Inverse Knitting: From Images to Manufacturing Instructions
    A. Kaspar, T. Oh, L. Makatura, P. Kellnhofer, and W. Matusik · ICML, 3272-3281. 2019
  • Three multi-material 3D printed rhinoceros models
    OpenFab: a programmable pipeline for multimaterial fabricationCACM Research Highlight
    K. Vidimce, S. Wang, J. Ragan-Kelley, and W. Matusik · Commun. ACM 62(9), 97-105. 2019
  • Speech2Face: Learning the Face Behind a Voice
    T. Oh, T. Dekel, C. Kim, I. Mosseri, W. T. Freeman, M. Rubinstein, and W. Matusik · CVPR, 7531-7540. 2019
  • The ChainQueen Differentiable Physics Engine
    Yuanming Hu · MIT
  • Topology optimization and 3D printing of multimaterial magnetic actuators and displaysScience Advances
    S. Sundaram, M. Skouras, D. S. Kim, L. van den Heuvel, and W. Matusik · Science Advances 5(7). 2019
  • Volumetric Michell trusses for parametric design & fabrication
    R. Arora, A. Jacobson, T. R. Langlois, Y. Huang, C. T. Mueller, W. Matusik, A. Shamir, K. Singh, and D. I. W. Levin · SCF, 6:1-6:13. 2019

2018

  • 3D-printing form and function
    Subra Sundaram · MIT
  • A Dataset of Flash and Ambient Illumination Pairs from the Crowd
    Y. Aksoy, C. Kim, P. Kellnhofer, S. Paris, M. A. Elgharib, M. Pollefeys, and W. Matusik · ECCV (9), 644-660. 2018
  • Computational design for the next manufacturing revolution
    Adriana Schulz · MIT
  • Computational discovery of extremal microstructure familiesScience Advances
    D. Chen, M. Skouras, B. Zhu, and W. Matusik · Science Advances 4(1). 2018
  • Crowd-Guided Ensembles: How Can We Choreograph Crowd Workers for Video Segmentation?
    A. Kaspar, G. Patterson, C. Kim, Y. Aksoy, W. Matusik, and M. A. Elgharib · CHI, 111:1-111:12. 2018
  • Data Driven 2-D-to-3-D Video Conversion for Soccer
    K. Calagari, M. A. Elgharib, P. Didyk, A. Kaspar, W. Matusik, and M. Hefeeda · IEEE Trans. Multim. 20(3), 605-619. 2018
  • Deep multispectral painting reproduction via multi-layer, custom-ink printing
    L. Shi, V. Babaei, C. Kim, M. Foshey, Y. Hu, P. Sitthi-amorn, S. Rusinkiewicz, and W. Matusik · ACM Trans. Graph. 37(6), 271. 2018
  • Design and analysis of directional front projection screens
    M. Piovarci, M. Wessely, M. Jagielski, M. Alexa, W. Matusik, and P. Didyk · Comput. Graph. 74, 213-224. 2018
  • Interactive exploration of design trade-offs
    A. Schulz, H. Wang, E. Grinspun, J. Solomon, and W. Matusik · ACM Trans. Graph. 37(4), 131. 2018
  • InverseCSG: automatic conversion of 3D models to CSG trees
    T. Du, J. P. Inala, Y. Pu, A. Spielberg, A. Schulz, D. Rus, A. Solar-Lezama, and W. Matusik · ACM Trans. Graph. 37(6), 213. 2018
  • Learning to Zoom: A Saliency-Based Sampling Layer for Neural Networks
    A. Recasens, P. Kellnhofer, S. Stent, W. Matusik, and A. Torralba · ECCV (9), 52-67. 2018
  • Learning-Based Video Motion Magnification
    T. Oh, R. Jaroensri, C. Kim, M. A. Elgharib, F. Durand, W. T. Freeman, and W. Matusik · ECCV (4), 663-679. 2018
  • Multiscale methods for fabrication design
    Desai Chen · MIT
  • Narrow-band topology optimization on a sparsely populated grid
    H. Liu, Y. Hu, B. Zhu, W. Matusik, and E. Sifakis · ACM Trans. Graph. 37(6), 251. 2018
  • On Learning Associations of Faces and Voices
    C. Kim, H. V. Shin, T. Oh, A. Kaspar, M. A. Elgharib, and W. Matusik · ACCV (5), 276-292. 2018
  • Robot Assisted Carpentry for Mass Customization
    J. I. Lipton, A. Schulz, A. Spielberg, L. Trueba, W. Matusik, and D. Rus · ICRA, 3540-3547. 2018
  • Semantic soft segmentation
    Y. Aksoy, T. Oh, S. Paris, M. Pollefeys, and W. Matusik · ACM Trans. Graph. 37(4), 72. 2018

2017

  • 3D color contoning
    V. Babaei, K. Vidimce, M. Foshey, A. Kaspar, P. Didyk, and W. Matusik · SCF, 8:1-8:2. 2017
  • 3D-Printed Autonomous Sensory Composites
    S. Sundaram, Z. Jiang, P. Sitthi-Amorn, D. S. Kim, M. A. Baldo, and W. Matusik · Advanced Materials Technologies 2(3). 2017
  • 3D-Printed Self-Folding Electronics
    S. Sundaram, D. S. Kim, M. A. Baldo, R. C. Hayward, and W. Matusik · ACS Applied Materials & Interfaces 9(37), 32290-32298. 2017
  • 3DTV at home: eulerian-lagrangian stereo-to-multiview conversion
    P. Kellnhofer, P. Didyk, S. Wang, P. Sitthi-amorn, W. T. Freeman, F. Durand, and W. Matusik · ACM Trans. Graph. 36(4), 146:1-146:13. 2017
  • Color contoning for 3D printing
    V. Babaei, K. Vidimce, M. Foshey, A. Kaspar, P. Didyk, and W. Matusik · ACM Trans. Graph. 36(4), 124:1-124:15. 2017
  • Designing cable-driven actuation networks for kinematic chains and trees
    V. Megaro, E. Knoop, A. Spielberg, D. I. W. Levin, W. Matusik, M. H. Gross, B. Thomaszewski, and M. Bächer · Symposium on Computer Animation, 15:1-15:10. 2017
  • Directional screens
    M. Piovarci, M. Wessely, M. Jagielski, M. Alexa, W. Matusik, and P. Didyk · SCF, 1:1-1:10. 2017
  • Dynamics-aware numerical coarsening for fabrication design
    D. Chen, D. I. W. Levin, W. Matusik, and D. M. Kaufman · ACM Trans. Graph. 36(4), 84:1-84:15. 2017
  • Efficient and scalable view generation from a single image using fully convolutional networks
    S. Bae, M. A. Elgharib, M. Hefeeda, and W. Matusik · arXiv preprint. 2017tech report
  • FabSquare: Fabricating Photopolymer Objects by Mold 3D Printing and UV Curing
    V. Babaei, J. Ramos, Y. Lu, G. Webster, and W. Matusik · IEEE Computer Graphics and Applications 37(3), 34-42. 2017
  • Hybrid Inkjet and Direct-Write Multi-Material Additive Manufacturing
    Nicholas Bandiera · MIT
  • Interactive design space exploration and optimization for CAD models
    A. Schulz, J. Xu, B. Zhu, C. Zheng, E. Grinspun, and W. Matusik · ACM Trans. Graph. 36(4), 157:1-157:14. 2017
  • Interactive robogami: An end-to-end system for design of robots with ground locomotion
    A. Schulz, C. R. Sung, A. Spielberg, W. Zhao, R. Cheng, E. Grinspun, D. Rus, and W. Matusik · Int. J. Robotics Res. 36(10), 1131-1147. 2017
  • Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural Networks
    A. Hassanien, M. A. Elgharib, A. Selim, S. Bae, M. Hefeeda, and W. Matusik · arXiv:1705.03281. 2017preprint
  • Learning Driver Gaze
    Anying Li · MIT
  • Near-eye light field holographic rendering with spherical waves for wide field of view interactive 3D computer graphics
    L. Shi, F. Huang, W. Lopes, W. Matusik, and D. Luebke · ACM Trans. Graph. 36(6), 236:1-236:17. 2017
  • Retrieval on Parametric Shape Collections
    A. Schulz, A. Shamir, I. Baran, D. I. W. Levin, P. Sitthi-amorn, and W. Matusik · ACM Trans. Graph. 36(1), 11:1-11:14. 2017
  • Two-scale topology optimization with microstructures
    B. Zhu, M. Skouras, D. Chen, and W. Matusik · ACM Trans. Graph. 36(4). 2017
  • Video Reflection Removal Through Spatio-Temporal Optimization
    A. Nandoriya, M. A. Elgharib, C. Kim, M. Hefeeda, and W. Matusik · ICCV, 2430-2438. 2017

2016

  • A compiler for 3D machine knitting
    J. McCann, L. Albaugh, V. Narayanan, A. Grow, W. Matusik, J. Mankoff, and J. K. Hodgins · ACM Trans. Graph. 35(4), 49:1-49:11. 2016
  • Acoustic voxels: computational optimization of modular acoustic filters
    D. Li, D. I. W. Levin, W. Matusik, and C. Zheng · ACM Trans. Graph. 35(4), 88:1-88:12. 2016
  • An interaction-aware, perceptual model for non-linear elastic objects
    M. Piovarci, D. I. W. Levin, J. Rebello, D. Chen, R. Durikovic, H. Pfister, W. Matusik, and P. Didyk · ACM Trans. Graph. 35(4), 55:1-55:13. 2016
  • Cinema 3D: large scale automultiscopic display
    N. Efrat, P. Didyk, M. Foshey, W. Matusik, and A. Levin · ACM Trans. Graph. 35(4), 59:1-59:12. 2016
  • Computational multicopter design
    T. Du, A. Schulz, B. Zhu, B. Bickel, and W. Matusik · ACM Trans. Graph. 35(6), 227:1-227:10. 2016
  • Computational Tools for 3D Printing
    W. Matusik and colleagues · ACM SIGGRAPH Course. Offered 2015 and 2016
  • Depth Personalization and Streaming of Stereoscopic Sports Videos
    K. Calagari, T. Elgamal, K. Diab, K. Templin, P. Didyk, W. Matusik, and M. Hefeeda · ACM Trans. Multim. Comput. Commun. Appl. 12(3), 41:1-41:23. 2016
  • Eulerian-Lagrangian Stereo-to-Multi-vieN r Conversion
    Szu-Po Wang · MIT
  • Eye Tracking for Everyone
    K. Krafka, A. Khosla, P. Kellnhofer, H. Kannan, S. M. Bhandarkar, W. Matusik, and A. Torralba · CVPR, 2176-2184. 2016
  • Foundry: Hierarchical Material Design for Multi-Material Fabrication
    K. Vidimce, A. Kaspar, Y. Wang, and W. Matusik · UIST, 563-574. 2016
  • GazeStereo3D: seamless disparity manipulations
    P. Kellnhofer, P. Didyk, K. Myszkowski, M. Hefeeda, H. Seidel, and W. Matusik · ACM Trans. Graph. 35(4), 68:1-68:13. 2016
  • Machine-Vision Assisted 3D Printing
    Allen Park · MIT
  • Simit: A Language for Physical Simulation
    F. Kjolstad, S. Kamil, J. Ragan-Kelley, D. I. W. Levin, S. Sueda, D. Chen, E. Vouga, D. M. Kaufman, G. Kanwar, W. Matusik, and S. P. Amarasinghe · ACM Trans. Graph. 35(2), 20:1-20:21. 2016
  • Stochastic structural analysis for context-aware design and fabrication
    T. R. Langlois, A. Shamir, D. Dror, W. Matusik, and D. I. W. Levin · ACM Trans. Graph. 35(6), 226:1-226:13. 2016
  • Toward Functional Magnetic Applications for Multi-material Inkjet 3D Printing
    Louise van den Heuvel · MIT

2015

  • Approximating Free-form Geometry with Height Fields for Manufacturing
    P. Herholz, W. Matusik, and M. Alexa · Comput. Graph. Forum 34(2), 239-251. 2015
  • AutoConnect: computational design of 3D-printable connectors
    Y. Koyama, S. Sueda, E. Steinhardt, T. Igarashi, A. Shamir, and W. Matusik · ACM Trans. Graph. 34(6), 231:1-231:11. 2015
  • Computational design of metallophone contact sounds
    G. Bharaj, D. I. W. Levin, J. Tompkin, Y. Fei, H. Pfister, W. Matusik, and C. Zheng · ACM Trans. Graph. 34(6), 223:1-223:13. 2015
  • Data-driven finite elements for geometry and material design
    D. Chen, D. I. W. Levin, S. Sueda, and W. Matusik · ACM Trans. Graph. 34(4), 74:1-74:10. 2015
  • Fab forms: customizable objects for fabrication with validity and geometry caching
    M. Shugrina, A. Shamir, and W. Matusik · ACM Trans. Graph. 34(4), 100:1-100:12. 2015
  • Gradient-based 2D-to-3D Conversion for Soccer Videos
    K. Calagari, M. A. Elgharib, P. Didyk, A. Kaspar, W. Matusik, and M. Hefeeda · ACM Multimedia, 331-340. 2015
  • Interactive Robogami
    Wei Zhao · MIT
  • Interactive robogami: data-driven design for 3D print and fold robots with ground locomotion
    A. Schulz, C. R. Sung, A. Spielberg, W. Zhao, Y. Cheng, A. M. Mehta, E. Grinspun, D. Rus, and W. Matusik · SIGGRAPH Studio, 1:1. 2015
  • Joint 5D Pen Input for Light Field Displays
    J. Tompkin, S. Muff, J. McCann, H. Pfister, J. Kautz, M. Alexa, and W. Matusik · UIST, 637-647. 2015
  • Methods Enabling Interactive Customization Of Fabricable Objects By Non-Professionals
    Maria "Masha" Shugrina · MIT
  • MultiFab: a machine vision assisted platform for multi-material 3D printing
    P. Sitthi-amorn, J. Ramos, Y. Wang, J. Kwan, J. T. Lan, W. Wang, and W. Matusik · ACM Trans. Graph. 34(4), 129:1-129:11. 2015

2014

  • A Programmable Pipeline for Multi-Material Fabrication
    Kiril Vidimče · MIT
  • Anahita: A System for 3D Video Streaming with Depth Customization
    K. Calagari, K. Templin, T. Elgamal, K. Diab, P. Didyk, W. Matusik, and M. Hefeeda · ACM Multimedia, 337-346. 2014
  • Boxelization: folding 3D objects into boxes
    Y. Zhou, S. Sueda, W. Matusik, and A. Shamir · ACM Trans. Graph. 33(4), 71:1-71:8. 2014
  • Computational Light Routing: 3D Printed Optical Fibers for Sensing and Display
    T. Pereira, S. Rusinkiewicz, and W. Matusik · ACM Trans. Graph. 33(3), 24:1-24:13. 2014
  • Design and fabrication by example
    A. Schulz, A. Shamir, D. I. W. Levin, P. Sitthi-amorn, and W. Matusik · ACM Trans. Graph. 33(4), 62:1-62:11. 2014
  • Improving visual quality of view transitions in automultiscopic displays
    S. Du, P. Didyk, F. Durand, S. Hu, and W. Matusik · ACM Trans. Graph. 33(6), 192:1-192:9. 2014
  • Modeling and optimizing eye vergence response to stereoscopic cuts
    K. Templin, P. Didyk, K. Myszkowski, M. Hefeeda, H. Seidel, and W. Matusik · ACM Trans. Graph. 33(4), 145:1-145:8. 2014
  • MultiFab: A Multi-Material 3D Printing Platform
    Javier Ramos · MIT
  • Turning free-form surfaces into manufacturable components
    P. Herholz, M. Alexa, and W. Matusik · SIGGRAPH Studio, 11:1. 2014

2013

  • 3D-Printing Spatially Varying BRDFs
    O. Rouiller, B. Bickel, J. Kautz, W. Matusik, and M. Alexa · IEEE Computer Graphics and Applications 33(6), 48-57. 2013
  • A Reducer-Tuner Model for Translating Specifications to 3D Prints
    Desai Chen · MIT
  • ChoreoGraphics: An Authoring Tool for Dance Shows
    A. Schulz, W. Matusik, and L. Velho · J. Graph. Tools 17(4), 159-176. 2013
  • Fabricated mechanical characters driven by printed gear trains
    Computational design of mechanical charactersSIGGRAPH Seminal Paper
    S. Coros, B. Thomaszewski, G. Noris, S. Sueda, M. Forberg, R. W. Sumner, W. Matusik, and B. Bickel · ACM Trans. Graph. 32(4), 83:1-83:12. 2013
  • Computing and Fabricating Multiplanar Models
    D. Chen, P. Sitthi-amorn, J. T. Lan, and W. Matusik · Comput. Graph. Forum 32(2), 305-315. 2013
  • Content-adaptive lenticular prints
    J. Tompkin, S. Heinzle, J. Kautz, and W. Matusik · ACM Trans. Graph. 32(4), 133:1-133:10. 2013
  • Design and Fabrication of a Modular Multi-Material 3D Printer
    Justin Lan · MIT
  • Design of Database for Automatic Example-Driven Design and Assembly of Man-Made Objects
    Keneth Pinera · MIT
  • Design of Electronics for a High-Resolution, Multi-Material, and Modular 3D Printer
    Joyce Kwan · MIT
  • Fab Trees for Designing Complex 3D Printable Materials
    Ye Wang · MIT
  • Fabricating BRDFs at high spatial resolution using wave optics
    A. Levin, D. Glasner, Y. Xiong, F. Durand, W. T. Freeman, W. Matusik, and T. E. Zickler · ACM Trans. Graph. 32(4), 144:1-144:14. 2013
  • Fabricating translucent materials using continuous pigment mixtures
    M. Papas, C. Regg, W. Jarosz, B. Bickel, P. Jackson, W. Matusik, S. Marschner, and M. H. Gross · ACM Trans. Graph. 32(4), 146:1-146:12. 2013
  • High Spatial Resolution BRDFs with Metallic Powders Using Wave Optics Analysis
    A. Levin, D. Glasner, Y. Xiong, F. Durand, W. T. Freeman, W. Matusik, and T. E. Zickler · MIT-CSAIL-TR-2013-008. 2013tech report
  • Joint view expansion and filtering for automultiscopic 3D displays
    P. Didyk, P. Sitthi-amorn, W. T. Freeman, F. Durand, and W. Matusik · ACM Trans. Graph. 32(6), 221:1-221:8. 2013
  • Light-Field Approximation Using Basic Display Layer Primitives
    N. Ranieri, S. Heinzle, P. Barnum, W. Matusik, and M. H. Gross · SID Symposium Digest of Technical Papers 44(1), 408-411. 2013
  • Modeling and estimation of internal friction in cloth
    E. Miguel, R. Tamstorf, D. Bradley, S. C. Schvartzman, B. Thomaszewski, B. Bickel, W. Matusik, S. Marschner, and M. A. Otaduy · ACM Trans. Graph. 32(6), 212:1-212:10. 2013
  • Multi-planar plenoptic displays
    N. Ranieri, S. Heinzle, P. Barnum, W. Matusik, and M. H. Gross · Journal of the Society for Information Display 21(10), 451-459. 2013
  • OpenFab: a programmable pipeline for multi-material fabrication
    K. Vidimce, S. Wang, J. Ragan-Kelley, and W. Matusik · ACM Trans. Graph. 32(4), 136:1-136:12. 2013
  • Parallax Walls: Light fields from occlusion on height fields
    X. Snelgrove, T. Pereira, W. Matusik, and M. Alexa · Comput. Graph. 37(8), 974-982. 2013
  • Spec2Fab: a reducer-tuner model for translating specifications to 3D prints
    D. Chen, D. I. W. Levin, P. Didyk, P. Sitthi-amorn, and W. Matusik · ACM Trans. Graph. 32(4), 135:1-135:10. 2013

2012

  • A luminance-contrast-aware disparity model and applications
    P. Didyk, T. Ritschel, E. Eisemann, K. Myszkowski, H. Seidel, and W. Matusik · ACM Trans. Graph. 31(6), 184:1-184:10. 2012
  • Chopper: partitioning models into 3D-printable parts
    L. Luo, I. Baran, S. Rusinkiewicz, and W. Matusik · ACM Trans. Graph. 31(6), 129:1-129:9. 2012
  • Data-Driven Estimation of Cloth Simulation Models
    E. Miguel, D. Bradley, B. Thomaszewski, B. Bickel, W. Matusik, M. A. Otaduy, and S. Marschner · Comput. Graph. Forum 31(2pt2), 519-528. 2012
  • Interactive light field painting
    J. Tompkin, S. Muff, S. Jakuschevskij, J. McCann, J. Kautz, M. Alexa, and W. Matusik · SIGGRAPH Emerging Technologies, 12. 2012
  • Irregular pit placement for dithering images by self-occlusion
    M. Alexa, and W. Matusik · Comput. Graph. 36(6), 635-641. 2012
  • Multi-Layered Automultiscopic Displays
    N. Ranieri, S. Heinzle, Q. Smithwick, D. Reetz, L. S. Smoot, W. Matusik, and M. H. Gross · Comput. Graph. Forum 31(7), 2135-2143. 2012
  • Physical face cloning
    B. Bickel, P. Kaufmann, M. Skouras, B. Thomaszewski, D. Bradley, T. Beeler, P. Jackson, S. Marschner, W. Matusik, and M. H. Gross · ACM Trans. Graph. 31(4), 118:1-118:10. 2012
  • ShadowPix: Multiple Images from Self Shadowing
    A. Bermano, I. Baran, M. Alexa, and W. Matusik · Comput. Graph. Forum 31(2pt3), 593-602. 2012
  • Structure and motion from scene registration
    T. Basha, S. Avidan, A. Hornung, and W. Matusik · CVPR, 1426-1433. 2012
  • The Frankencamera: an experimental platform for computational photographyCACM Research Highlight
    A. Adams, D. E. Jacobs, J. Dolson, M. Tico, K. Pulli, E. Talvala, B. Ajdin, D. A. Vaquero, H. P. A. Lensch, M. Horowitz, S. H. Park, N. Gelfand, J. Baek, W. Matusik, and M. Levoy · Commun. ACM 55(11), 90-98. 2012

2011

  • CG2Real: Improving the Realism of Computer Generated Images Using a Large Collection of Photographs
    M. K. Johnson, K. Dale, S. Avidan, H. Pfister, W. T. Freeman, and W. Matusik · IEEE Trans. Vis. Comput. Graph. 17(9), 1273-1285. 2011
  • Computational stereo camera system with programmable control loop
    S. Heinzle, P. Greisen, D. Gallup, C. Chen, D. Saner, A. Smolic, A. Burg, W. Matusik, and M. H. Gross · ACM Trans. Graph. 30(4), 94. 2011
  • Goal-based Caustics
    M. Papas, W. Jarosz, W. Jakob, S. Rusinkiewicz, W. Matusik, and T. Weyrich · Comput. Graph. Forum 30(2), 503-511. 2011
  • Images from Self-Occlusion
    M. Alexa, and W. Matusik · CAe, 17-24. 2011
  • Multi-perspective stereoscopy from light fields
    C. Kim, A. Hornung, S. Heinzle, W. Matusik, and M. H. Gross · ACM Trans. Graph. 30(6), 190. 2011
  • The video mesh: A data structure for image-based three-dimensional video editing
    J. Chen, S. Paris, J. Wang, W. Matusik, M. F. Cohen, and F. Durand · ICCP, 1-8. 2011
  • Video face replacement
    K. Dale, K. Sunkavalli, M. K. Johnson, D. Vlasic, W. Matusik, and H. Pfister · ACM Trans. Graph. 30(6), 130. 2011

2010

  • Computational highlight holography
    C. Regg, S. Rusinkiewicz, W. Matusik, and M. H. Gross · ACM Trans. Graph. 29(6), 170. 2010
  • Design and fabrication of materials with desired deformation behaviorSIGGRAPH Seminal Paper
    B. Bickel, M. Bächer, M. A. Otaduy, H. R. Lee, H. Pfister, M. H. Gross, and W. Matusik · ACM Trans. Graph. 29(4), 63:1-63:10. 2010
  • Multi-scale image harmonization
    K. Sunkavalli, M. K. Johnson, W. Matusik, and H. Pfister · ACM Trans. Graph. 29(4), 125:1-125:10. 2010
  • Personal photo enhancement using example images
    N. Joshi, W. Matusik, E. H. Adelson, and D. J. Kriegman · ACM Trans. Graph. 29(2), 12:1-12:15. 2010
  • Physical reproduction of materials with specified subsurface scattering
    M. Hasan, M. Fuchs, W. Matusik, H. Pfister, and S. Rusinkiewicz · ACM Trans. Graph. 29(4), 61:1-61:10. 2010
  • Reliefs as images
    M. Alexa, and W. Matusik · ACM Trans. Graph. 29(4), 60:1-60:7. 2010
  • The Frankencamera: an experimental platform for computational photography
    A. Adams, E. Talvala, S. H. Park, D. E. Jacobs, B. Ajdin, N. Gelfand, J. Dolson, D. A. Vaquero, J. Baek, M. Tico, H. P. A. Lensch, W. Matusik, K. Pulli, M. Horowitz, and M. Levoy · ACM Trans. Graph. 29(4), 29:1-29:12. 2010

2009

  • Capture and modeling of non-linear heterogeneous soft tissue
    B. Bickel, M. Bächer, M. A. Otaduy, W. Matusik, H. Pfister, and M. H. Gross · ACM Trans. Graph. 28(3), 89. 2009
  • Compressive light transport sensing
    P. Peers, D. Mahajan, B. Lamond, A. Ghosh, W. Matusik, R. Ramamoorthi, and P. E. Debevec · ACM Trans. Graph. 28(1), 3:1-3:18. 2009
  • Dynamic shape capture using multi-view photometric stereo
    D. Vlasic, P. Peers, I. Baran, P. E. Debevec, J. Popovic, S. Rusinkiewicz, and W. Matusik · ACM Trans. Graph. 28(5), 174. 2009
  • Fabricating microgeometry for custom surface reflectance
    T. Weyrich, P. Peers, W. Matusik, and S. Rusinkiewicz · ACM Trans. Graph. 28(3), 32. 2009
  • Image restoration using online photo collections
    K. Dale, M. K. Johnson, K. Sunkavalli, W. Matusik, and H. Pfister · ICCV, 2217-2224. 2009
  • Moving gradients: a path-based method for plausible image interpolation
    D. Mahajan, F. Huang, W. Matusik, R. Ramamoorthi, and P. N. Belhumeur · ACM Trans. Graph. 28(3), 42. 2009
  • Printing spatially-varying reflectance
    W. Matusik, B. Ajdin, J. Gu, J. Lawrence, H. P. A. Lensch, F. Pellacini, and S. Rusinkiewicz · ACM Trans. Graph. 28(5), 128. 2009

2008

  • Articulated mesh animation from multi-view silhouettes
    D. Vlasic, I. Baran, W. Matusik, and J. Popovic · ACM Trans. Graph. 27(3), 97. 2008
  • Hair photobooth: geometric and photometric acquisition of real hairstyles
    S. Paris, W. Chang, O. I. Kozhushnyan, W. Jarosz, W. Matusik, M. Zwicker, and F. Durand · ACM Trans. Graph. 27(3), 30. 2008
  • Multiview user interfaces with an automultiscopic display
    W. Matusik, C. Forlines, and H. Pfister · AVI, 363-366. 2008
  • What do color changes reveal about an outdoor scene?
    K. Sunkavalli, F. Romeiro, W. Matusik, T. E. Zickler, and H. Pfister · CVPR, 1-8. 2008

2007

  • Acquisition
    S. Rusinkiewicz, T. Weyrich, W. Matusik, F. Sadlo, R. Peikert, and H. Pfister · In M. Gross and H. Pfister (eds.), Point-Based Graphics, Morgan Kaufmann/Elsevier, 18-93. 2007. (Chapter includes his section Point-Based 3D Photography.)
  • Display pre-filtering for multi-view video compression
    M. Zwicker, S. Yea, A. Vetro, C. Forlines, W. Matusik, and H. Pfister · ACM Multimedia, 1046-1053. 2007
  • Exploring Defocus Matting: Nonparametric Acceleration, Super-Resolution, and Off-Center Matting
    N. Joshi, W. Matusik, S. Avidan, H. Pfister, and W. T. Freeman · IEEE Computer Graphics and Applications 27(2), 43-52. 2007
  • Factored time-lapse video
    K. Sunkavalli, W. Matusik, H. Pfister, and S. Rusinkiewicz · ACM Trans. Graph. 26(3), 101. 2007
  • Multi-aperture photography
    P. Green, W. Sun, W. Matusik, and F. Durand · ACM Trans. Graph. 26(3), 68. 2007
  • Multi-scale capture of facial geometry and motion
    B. Bickel, M. Botsch, R. Angst, W. Matusik, M. A. Otaduy, H. Pfister, and M. H. Gross · ACM Trans. Graph. 26(3), 33. 2007
  • Multi-view Video Compression for 3D Displays
    M. Zwicker, S. Yea, A. Vetro, C. Forlines, W. Matusik, and H. Pfister · 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers, 1506-1510. 2007
  • Optical Splitting Trees for High-Precision Monocular Imaging
    M. McGuire, W. Matusik, H. Pfister, B. Chen, J. F. Hughes, and S. K. Nayar · IEEE Computer Graphics and Applications 27(2), 32-42. 2007
  • Overview of Multiview Video Coding and Anti-Aliasing for 3D Displays
    A. Vetro, S. Yea, M. Zwicker, W. Matusik, and H. Pfister · ICIP (1), I:17-20. 2007
  • Post-production facial performance relighting using reflectance transfer
    P. Peers, N. Tamura, W. Matusik, and P. E. Debevec · ACM Trans. Graph. 26(3), 52. 2007
  • Practical motion capture in everyday surroundings
    D. Vlasic, R. Adelsberger, G. Vannucci, J. Barnwell, M. H. Gross, W. Matusik, and J. Popovic · ACM Trans. Graph. 26(3), 35. 2007
  • Resampling, Antialiasing, and Compression in Multiview 3-D Displays
    M. Zwicker, A. Vetro, S. Yea, W. Matusik, H. Pfister, and F. Durand · IEEE Signal Process. Mag. 24(6), 88-96. 2007
  • Statistics of Infrared Images
    N. J. W. Morris, S. Avidan, W. Matusik, and H. Pfister · CVPR, 1-7. 2007
  • Synthetic Aperture Tracking: Tracking through Occlusions
    N. Joshi, S. Avidan, W. Matusik, and D. J. Kriegman · ICCV, 1-8. 2007

2006

  • A compact factored representation of heterogeneous subsurface scattering
    P. Peers, K. v. Berge, W. Matusik, R. Ramamoorthi, J. Lawrence, S. Rusinkiewicz, and P. Dutré · ACM Trans. Graph. 25(3), 746-753. 2006
  • A statistical model for synthesis of detailed facial geometry
    A. Golovinskiy, W. Matusik, H. Pfister, S. Rusinkiewicz, and T. A. Funkhouser · ACM Trans. Graph. 25(3), 1025-1034. 2006
  • Analysis of human faces using a measurement-based skin reflectance model
    T. Weyrich, W. Matusik, H. Pfister, B. Bickel, C. Donner, C. Tu, J. McAndless, J. Lee, A. Ngan, H. W. Jensen, and M. H. Gross · ACM Trans. Graph. 25(3), 1013-1024. 2006
  • Antialiasing for Automultiscopic 3D Displays
    M. Zwicker, W. Matusik, F. Durand, and H. Pfister · Rendering Techniques, 73-82. 2006
  • Distributed rendering for multiview parallax displays
    T. Annen, W. Matusik, H. Pfister, H. Seidel, and M. Zwicker · SPIE Proceedings 6055, 60550P. 2006
  • Image-driven Navigation of Analytical BRDF Models
    A. Ngan, F. Durand, and W. Matusik · Rendering Techniques, 399-407. 2006
  • Inverse shade trees for non-parametric material representation and editing
    J. Lawrence, A. Ben-Artzi, C. DeCoro, W. Matusik, H. Pfister, R. Ramamoorthi, and S. Rusinkiewicz · ACM Trans. Graph. 25(3), 735-745. 2006
  • Natural video matting using camera arrays
    N. Joshi, W. Matusik, and S. Avidan · ACM Trans. Graph. 25(3), 779-786. 2006
  • Practical, Real-time Studio Matting using Dual Imagers
    M. McGuire, W. Matusik, and W. Yerazunis · Rendering Techniques, 235-244. 2006
  • Processing and editing of faces using a measurement-based skin reflectance model
    B. Bickel, T. Weyrich, W. Matusik, H. Pfister, C. Donner, C. Tu, J. McAndless, J. Lee, A. Ngan, H. W. Jensen, and M. H. Gross · SIGGRAPH Sketches, 168. 2006
  • Real-time triangulation matting using passive polarization
    M. McGuire, and W. Matusik · SIGGRAPH Sketches, 88. 2006
  • Time-varying surface appearance: acquisition, modeling and rendering
    J. Gu, C. Tu, R. Ramamoorthi, P. N. Belhumeur, W. Matusik, and S. K. Nayar · ACM Trans. Graph. 25(3), 762-771. 2006
  • View-dependent precomputed light transport using nonlinear Gaussian function approximations
    P. Green, J. Kautz, W. Matusik, and F. Durand · SI3D, 7-14. 2006

2005

  • Defocus difference matting
    M. McGuire, and W. Matusik · SIGGRAPH Sketches, 104. 2005
  • Defocus video matting
    M. McGuire, W. Matusik, H. Pfister, J. F. Hughes, and F. Durand · ACM Trans. Graph. 24(3), 567-576. 2005
  • Experimental Analysis of BRDF Models
    A. Ngan, F. Durand, and W. Matusik · Rendering Techniques, 117-126. 2005
  • Measuring Skin Reflectance and Subsurface Scattering
    T. Weyrich, W. Matusik, H. Pfister, A. Ngan, and M. H. Gross · MERL TR2005-046. 2005tech report
  • Realistic Materials in Computer Graphics
    W. Matusik and colleagues · ACM SIGGRAPH Course
  • Texture design using a simplicial complex of morphable textures
    W. Matusik, M. Zwicker, and F. Durand · ACM Trans. Graph. 24(3), 787-794. 2005
  • Video-Based Rendering
    W. Matusik and colleagues · ACM SIGGRAPH Course

2004

  • 3D TV
    W. Matusik, and H. Pfister · SIGGRAPH Emerging Technologies, 2. 2004
  • 3D TV: a scalable system for real-time acquisition, transmission, and autostereoscopic display of dynamic scenes
    W. Matusik, and H. Pfister · ACM Trans. Graph. 23(3), 814-824. 2004
  • Coding approaches for end-to-end 3D TV systems
    A. Vetro, W. Matusik, H. Pfister, and J. Xin · Picture Coding Symposium (PCS). 2004
  • Experimental validation of analytical BRDF models
    A. Ngan, F. Durand, and W. Matusik · SIGGRAPH Sketches, 90. 2004
  • Non-linear kernel-based precomputed light transport
    P. Green, J. Kautz, W. Matusik, F. Durand, and H. W. Jensen · SIGGRAPH Sketches, 111. 2004
  • Progressively-Refined Reflectance Functions from natural Illumination
    W. Matusik, M. Loper, and H. Pfister · Rendering Techniques, 299-308. 2004

2003

  • 3D Reconstruction Using Labeled Image Regions
    R. Ziegler, W. Matusik, H. Pfister, and L. McMillan · Symposium on Geometry Processing, 248-259. 2003
  • A teapot rendered under two measured reflectance models, with detail crops
    A data-driven reflectance modelSIGGRAPH Seminal Paper
    W. Matusik, H. Pfister, M. Brand, and L. McMillan · ACM Trans. Graph. 22(3), 759-769. 2003
  • A Data-Driven Reflectance Model
    Wojciech Matusik · MIT
  • Efficient Isotropic BRDF Measurement
    W. Matusik, H. Pfister, M. Brand, and L. McMillan · Rendering Techniques, 241-248. 2003
  • Opacity light fields: interactive rendering of surface light fields with view-dependent opacity
    D. Vlasic, H. Pfister, S. Molinov, R. Grzeszczuk, and W. Matusik · SI3D, 65-74. 2003

2002

  • Acquisition and Rendering of Transparent and Refractive Objects
    W. Matusik, H. Pfister, R. Ziegler, A. Ngan, and L. McMillan · Rendering Techniques, 267-278. 2002
  • An efficient visual hull computation algorithm
    W. Matusik, C. Buehler, L. McMillan, and S. J. Gortler · MIT-LCS-TM-623. 2002tech report
  • Efficient view-dependent sampling of visual hulls
    W. Matusik, C. Buehler, and L. McMillan · MIT-LCS-TM-624. 2002tech report
  • Image-based 3D photography using opacity hulls
    W. Matusik, H. Pfister, A. Ngan, P. A. Beardsley, R. Ziegler, and L. McMillan · ACM Trans. Graph. 21(3), 427-437. 2002

2001

  • Image-Based Visual Hulls
    Wojciech Matusik · MIT
  • Polyhedral Visual Hulls for Real-Time Rendering
    W. Matusik, C. Buehler, and L. McMillan · Rendering Techniques, 115-126. 2001

2000

  • Image-based visual hulls
    W. Matusik, C. Buehler, R. Raskar, S. J. Gortler, and L. McMillan · SIGGRAPH, 369-374. 2000

1999

  • Creating and rendering image-based visual hulls
    C. Buehler, W. Matusik, L. McMillan, and S. J. Gortler · MIT-LCS-TR-780. 1999tech report