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Existing motion generation methods based on mocap data are often limited by data quality and coverage.
Yale-cmu-berkeley dataset for robotic manipulation research
Berk Calli, Arjun Singh, James Bruce, Aaron Walsman, Kurt Konolige, Siddhartha Srinivasa, Pieter Abbeel, and Aaron M Dollar · 2017
Earlier work this paper cites.
Neural probabilistic motor primitives for humanoid control
Josh Merel, Leonard Hasenclever, Alexandre Galashov, Arun Ahuja, Vu Pham, Greg Wayne, Yee Whye Teh, and Nicolas Heess · 2018
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Amass: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F Troje, Gerard Pons-Moll, and Michael J Black · 2019
Earlier work this paper cites.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
Earlier work this paper cites.
Expressive body capture: 3d hands, face, and body from a single image, 2019
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, and Michael J. Black · 2019
Earlier work this paper cites.
Unpaired motion style transfer from video to animation
Kfir Aberman, Yijia Weng, Dani Lischinski, Daniel Cohen-Or, and Baoquan Chen · 2020
Earlier work this paper cites.
Grab: A dataset of whole-body human grasping of objects
Omid Taheri, Nima Ghorbani, Michael J Black, and Dimitrios Tzionas · 2020
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Learning to sit: Synthesizing human-chair interactions via hierarchical control
Yu-Wei Chao, Jimei Yang, Weifeng Chen, and Jia Deng · 2021
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Isaac gym: High performance gpu-based physics simulation for robot learning
Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, Michelle Lu, Kier Storey, Miles Macklin, David Hoeller, Nikita Rudin, Arthur Allshire, Ankur Handa, et al · 2021
Earlier work this paper cites.
Amp: Adversarial motion priors for stylized physics-based character control
Xue Bin Peng, Ze Ma, Pieter Abbeel, Sergey Levine, and Angjoo Kanazawa · 2021
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D-grasp: Physically plausible dynamic grasp synthesis for hand-object interactions
Sammy Christen, Muhammed Kocabas, Emre Aksan, Jemin Hwangbo, Jie Song, and Otmar Hilliges · 2022
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Avatarclip: Zero-shot text-driven generation and animation of 3d avatars
Fangzhou Hong, Mingyuan Zhang, Liang Pan, Zhongang Cai, Lei Yang, and Ziwei Liu · 2022
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Motion puzzle: Arbitrary motion style transfer by body part
Deok-Kyeong Jang, Soomin Park, and Sung-Hee Lee · 2022
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Learning virtual chimeras by dynamic motion reassembly
Seyoung Lee, Jiye Lee, and Jehee Lee · 2022
Cited alongside, same era.
Embodied scene-aware human pose estimation
Zhengyi Luo, Shun Iwase, Ye Yuan, and Kris Kitani · 2022
Cited alongside, same era.
Ase: Large-scale reusable adversarial skill embeddings for physically simulated characters
Xue Bin Peng, Yunrong Guo, Lina Halper, Sergey Levine, and Sanja Fidler · 2022
Cited alongside, same era.
Goal: Generating 4d whole-body motion for hand-object grasping
Omid Taheri, Vasileios Choutas, Michael J Black, and Dimitrios Tzionas · 2022
Cited alongside, same era.
Physics-based character controllers using conditional vaes
Jungdam Won, Deepak Gopinath, and Jessica Hodgins · 2022
Cited alongside, same era.
Saga: Stochastic whole-body grasping with contact
Yan Wu, Jiahao Wang, Yan Zhang, Siwei Zhang, Otmar Hilliges, Fisher Yu, and Siyu Tang · 2022
Perpetual humanoid control for real-time simulated avatars
Zhengyi Luo, Jinkun Cao, Kris Kitani, Weipeng Xu, et al · 2023
Later among the works it cites.
Flex: Full-body grasping without full-body grasps
Purva Tendulkar, Dídac Surís, and Carl Vondrick · 2023
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Calm: Conditional adversarial latent models for directable virtual characters
Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, and Xue Bin Peng · 2023
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Unidexgrasp: Universal robotic dexterous grasping via learning diverse proposal generation and goal-conditioned policy
Yinzhen Xu, Weikang Wan, Jialiang Zhang, Haoran Liu, Zikang Shan, Hao Shen, Ruicheng Wang, Haoran Geng, Yijia Weng, Jiayi Chen, et al · 2023
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Neural categorical priors for physics-based character control
Qingxu Zhu, He Zhang, Mengting Lan, and Lei Han · 2023
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Dexterous hand series, 2005
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Cited alongside, same era.
Controlvae: Model-based learning of generative controllers for physics-based characters
Heyuan Yao, Zhenhua Song, Baoquan Chen, and Libin Liu · 2022
Cited alongside, same era.
Circle: Capture in rich contextual environments, 2023
Joao Pedro Araujo, Jiaman Li, Karthik Vetrivel, Rishi Agarwal, Deepak Gopinath, Jiajun Wu, Alexander Clegg, and C. Karen Liu · 2023
Cited alongside, same era.
Pmp: Learning to physically interact with environments using part-wise motion priors
Jinseok Bae, Jungdam Won, Donggeun Lim, Cheol-Hui Min, and Young Min Kim · 2023
Cited alongside, same era.
Physically plausible full-body hand-object interaction synthesis, 2023
Jona Braun, Sammy Christen, Muhammed Kocabas, Emre Aksan, and Otmar Hilliges · 2023
Cited alongside, same era.
Executing your commands via motion diffusion in latent space
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, and Gang Yu · 2023
Cited alongside, same era.
Synthesizing physical character-scene interactions
Mohamed Hassan, Yunrong Guo, Tingwu Wang, Michael Black, Sanja Fidler, and Xue Bin Peng · 2023
Cited alongside, same era.
Shadow Robot Company · 2024
Later among the works it cites.
Wandr: Intention-guided human motion generation
Markos Diomataris, Nikos Athanasiou, Omid Taheri, Xi Wang, Otmar Hilliges, and Michael J. Black · 2024
Later among the works it cites.
Task-oriented human-object interactions generation with implicit neural representations
Quanzhou Li, Jingbo Wang, Chen Change Loy, and Bo Dai · 2024
Later among the works it cites.
Synthesizing physically plausible human motions in 3d scenes
Liang Pan, Jingbo Wang, Buzhen Huang, Junyu Zhang, Haofan Wang, Xu Tang, and Yangang Wang · 2024
Later among the works it cites.
Motiongpt: Human motion synthesis with improved diversity and realism via gpt-3 prompting
Jose Ribeiro-Gomes, Tianhui Cai, Zoltán Á Milacski, Chen Wu, Aayush Prakash, Shingo Takagi, Amaury Aubel, Daeil Kim, Alexandre Bernardino, and Fernando De La Torre · 2024
Later among the works it cites.
Kimi k1.5: A multimodal ai model, 2025
Moonshot AI · 2025
Closest in time.
Gpt-4o: Large language model, 2025
OpenAI · 2025
Closest in time.