2024
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Main content start
Results for: 2024
- Truong, Takara, Michael Piseno, Zhaoming Xie, and C. Karen Liu. “PDP: Physics-Based Character Animation via Diffusion Policy”, SIGGRAPH Asia 2024. https://doi.org/10.1145/3680528.3687683.
- Wang*, Ruocheng, Pei Xu*, Haochen Shi, Elizabeth Schumann, and C. Karen Liu. “FürElise: Capturing and Physically Synthesizing Hand Motions of Piano Performance”, SIGGRAPH Asia 2024 Conference Papers, 1-11. https://doi.org/10.1145/3680528.3687703.
- Xu, Pei, and Ruocheng Wang. “Synchronize Dual Hands for Physics-Based Dexterous Guitar Playing”, SIGGRAPH Asia 2024 Conference Papers (SA Conference Papers ’24). https://doi.org/10.1145/3680528.3687692.
- Li, Jiaman, Alexander Clegg, Roozbeh Mottaghi, Jiajun Wu, Xavier Puig, and C. Karen Liu. “Controllable Human-Object Interaction Synthesis”, European Conference on Computer Vision (ECCV), 2024. https://lijiaman.github.io/projects/chois/.
- Wu, Albert, Ruocheng Wang, Sirui Chen, Clemens Eppner, and C. Karen Liu. “One-Shot Transfer of Long-Horizon Extrinsic Manipulation Through Contact Retargeting”, International Conference on Intelligent Robots and Systems (IROS), 2024. https://stanford-tml.github.io/extrinsic-manipulation/.
- Goel, Purvi, Kuan-Chieh Wang, C. Karen Liu, and Kayvon Fatahalian. “Iterative Motion Editing With Natural Language”, ACM SIGGRAPH Conference Proceedings 2024, 71 (July 28, 2024): 9. https://purvigoel.github.io/iterative-motion-editing/.
- Wang, Chen, Haochen Shi, Weizhuo Wang, Ruohan Zhang, Li Fei-Fei, and Karen Liu. “DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation”, Robotics: Science and Systems (RSS), 2024.
- Guo, Michelle, Ziang Liu, Stephen Tian, Zhaoming Xie, Jiajun Wu, and C. Karen Liu. “Learning to Design 3D Printable Adaptations on Everyday Objects for Robot Manipulation”, IEEE International Conference on Robotics and Automation (ICRA), 2024. https://object-adaptation.github.io/.
- Po, R., W. Yifan, V. Golyanik, K. Aberman, J. T. Barron, A. Bermano, E. Chan, T. Dekel, A. Holynski, A. Kanazawa, C. K. Liu, L. Liu, B. Mildenhall, M. Niebner, B. Ommer, C. Theobalt, P. Wonka, and G. Wetzstein. “State of the Art on Diffusion Models for Visual Computing”, Eurographics, 2024.
- Van Wouwe, Tom, Jennifer Hicks, Scott Delp, and C. Karen Liu. “A Simulation Framework to Determine Optimal Strength Training and Musculoskeletal Geometry for Sprinting and Distance Running”, PLoS Computational Biology, 20, no. 2 (2024). https://doi.org/10.1371/journal.pcbi.1011410.
- Huang, William, Yifeng Jiang, Tom Van Wouwe, and C. Karen Liu. “Constrained Diffusion With Trust Sampling”. NeurIPS, 2024. https://will-s-h.github.io/trust-sampling-website/.
- Keller, Marilyn, Keenon Werling, Soyong Shin, Scott Delp, Sergi Pujades, C. Liu, and Michael Black. “From Skin to Skeleton: Towards Biomechanically Accurate 3D Digital Humans”, ACM Transactions of Graphics (SIGGRAPH Asia) 2023., 42, no. 6 (December 2023). https://doi.org/10.1145/3618381.
- Chen, Sirui, Chen Wang, Kaden Nguyen, Li Fei-Fei, and C. Karen Liu. “ARCap: Collecting High-Quality Human Demonstration for Robot Learning With Augmented Reality Feedback”, ICRA 2025. https://stanford-tml.github.io/ARCap.