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Synthesizing diverse and physically plausible Human-Scene Interactions (HSI) is pivotal for both computer animation and embodied AI.
Planning motions with intentions
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F Sebastian Grassia · 1998
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Database guided computer animation of human grasping using forward and inverse kinematics
Yahya Aydin and Masayuki Nakajima · 1999
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Neural network-based violinist’s hand animation
Junhwan Kim, Frederic Cordier, and Nadia Magnenat-Thalmann · 2000
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Handrix: animating the human hand
George ElKoura and Karan Singh · 2003
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Physically-based grasping control from example
Nancy S Pollard and Victor Brian Zordan · 2005
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Synthesis of interactive hand manipulation
C Karen Liu · 2008
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Dextrous manipulation from a grasping pose
C Karen Liu · 2009
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Sampling-based contact-rich motion control
Libin Liu, KangKang Yin, Michiel Van de Panne, Tianjia Shao, and Weiwei Xu · 2010
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Controlling physics-based characters using soft contacts
Sumit Jain and C Karen Liu · 2011
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Synthesis of detailed hand manipulations using contact sampling
Yuting Ye and C Karen Liu · 2012
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Robust realtime physics-based motion control for human grasping
Wenping Zhao, Jianjie Zhang, Jianyuan Min, and Jinxiang Chai · 2013
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Improving sampling-based motion control
Libin Liu, KangKang Yin, and Baining Guo · 2015
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SMPL: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black · 2015
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Phase-functioned neural networks for character control
Daniel Holden, Taku Komura, and Jun Saito · 2017
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Learning to schedule control fragments for physics-based characters using deep Q-learning
Libin Liu and Jessica Hodgins · 2017
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Deeploco: Dynamic locomotion skills using hierarchical deep reinforcement learning
Xue Bin Peng, Glen Berseth, KangKang Yin, and Michiel Van De Panne · 2017
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Attention is all you need
A Vaswani · 2017
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Learning to dress: Synthesizing human dressing motion via deep reinforcement learning
Alexander Clegg, Wenhao Yu, Jie Tan, C Karen Liu, and Greg Turk · 2018
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Interactive character animation by learning multi-objective control
Kyungho Lee, Seyoung Lee, and Jehee Lee · 2018
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Learning basketball dribbling skills using trajectory optimization and deep reinforcement learning
Libin Liu and Jessica Hodgins · 2018
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Deepmimic: Example-guided deep reinforcement learning of physics-based character skills
Xue Bin Peng, Pieter Abbeel, Sergey Levine, and Michiel van de Panne · 2018
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Sim-to-real: Learning agile locomotion for quadruped robots
Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, and Vincent Vanhoucke · 2018
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Solving rubik’s cube with a robot hand
Ilge Akkaya, Marcin Andrychowicz, Maciek Chociej, Mateusz Litwin, Bob McGrew, Arthur Petron, Alex Paino, Matthias Plappert, Glenn Powell, Raphael Ribas, et al · 2019
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Drecon: Data-driven responsive control of physics-based characters
Kevin Bergamin, Simon Clavet, Daniel Holden, and James Richard Forbes · 2019
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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
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Learning predict-and-simulate policies from unorganized human motion data
Soohwan Park, Hoseok Ryu, Seyoung Lee, Sunmin Lee, and Jehee Lee · 2019
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Neural state machine for character-scene interactions
Sebastian Starke, He Zhang, Taku Komura, and Jun Saito · 2019
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Learning body shape variation in physics-based characters
Jungdam Won and Jehee Lee · 2019
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On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
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Learned motion matching
Daniel Holden, Oussama Kanoun, Maksym Perepichka, and Tiberiu Popa · 2020
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Character controllers using motion vaes
Hung Yu Ling, Fabio Zinno, George Cheng, and Michiel Van De Panne · 2020
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Catch & carry: reusable neural controllers for vision-guided whole-body tasks
Josh Merel, Saran Tunyasuvunakool, Arun Ahuja, Yuval Tassa, Leonard Hasenclever, Vu Pham, Tom Erez, Greg Wayne, and Nicolas Heess · 2020
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A scalable approach to control diverse behaviors for physically simulated characters
Jungdam Won, Deepak Gopinath, and Jessica Hodgins · 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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3d-front: 3d furnished rooms with layouts and semantics
Huan Fu, Bowen Cai, Lin Gao, Ling-Xiao Zhang, Jiaming Wang, Cao Li, Qixun Zeng, Chengyue Sun, Rongfei Jia, Binqiang Zhao, et al · 2021
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Stochastic scene-aware motion prediction
Mohamed Hassan, Duygu Ceylan, Ruben Villegas, Jun Saito, Jimei Yang, Yi Zhou, and Michael J Black · 2021
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Adversarial skill chaining for long-horizon robot manipulation via terminal state regularization
Youngwoon Lee, Joseph J Lim, Anima Anandkumar, and Yuke Zhu · 2021
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Generating human motion in 3d scenes from text descriptions
Zhi Cen, Huaijin Pi, Sida Peng, Zehong Shen, Minghui Yang, Shuai Zhu, Hujun Bao, and Xiaowei Zhou · 2024
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Taming diffusion probabilistic models for character control
Rui Chen, Mingyi Shi, Shaoli Huang, Ping Tan, Taku Komura, and Xuelin Chen · 2024
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Expressive whole-body control for humanoid robots
Xuxin Cheng, Yandong Ji, Junming Chen, Ruihan Yang, Ge Yang, and Xiaolong Wang · 2024
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Laserhuman: language-guided scene-aware human motion generation in free environment
Peishan Cong, Ziyi Wang, Zhiyang Dou, Yiming Ren, Wei Yin, Kai Cheng, Yujing Sun, Xiaoxiao Long, Xinge Zhu, and Yuexin Ma · 2024
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Anyskill: Learning open-vocabulary physical skill for interactive agents
Jieming Cui, Tengyu Liu, Nian Liu, Yaodong Yang, Yixin Zhu, and Siyuan Huang · 2024
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Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, Michelle Lu, Kier Storey, Miles Macklin, David Hoeller, Nikita Rudin, Arthur Allshire, Ankur Handa, et al · 2021
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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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Simpoe: Simulated character control for 3d human pose estimation
Ye Yuan, Shih-En Wei, Tomas Simon, Kris Kitani, and Jason Saragih · 2021
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Manipnet: Neural manipulation synthesis with a hand-object spatial representation
He Zhang, Yuting Ye, Takaaki Shiratori, and Taku Komura · 2021
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Behave: Dataset and method for tracking human object interactions
Bharat Lal Bhatnagar, Xianghui Xie, Ilya A Petrov, Cristian Sminchisescu, Christian Theobalt, and Gerard Pons-Moll · 2022
Cited alongside, same era.
Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen, et al · 2022
Cited alongside, same era.
From motor control to team play in simulated humanoid football
Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, SM Ali Eslami, Daniel Hennes, Wojciech M Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, et al · 2022
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Motionlcm: Real-time controllable motion generation via latent consistency model
Wenxun Dai, Ling-Hao Chen, Jingbo Wang, Jinpeng Liu, Bo Dai, and Yansong Tang · 2024
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Cg-hoi: Contact-guided 3d human-object interaction generation
Christian Diller and Angela Dai · 2024
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Freemotion: A unified framework for number-free text-to-motion synthesis
Ke Fan, Junshu Tang, Weijian Cao, Ran Yi, Moran Li, Jingyu Gong, Jiangning Zhang, Yabiao Wang, Chengjie Wang, and Lizhuang Ma · 2024
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Humanplus: Humanoid shadowing and imitation from humans
Zipeng Fu, Qingqing Zhao, Qi Wu, Gordon Wetzstein, and Chelsea Finn · 2024
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Coohoi: Learning cooperative human-object interaction with manipulated object dynamics
Jiawei Gao, Ziqin Wang, Zeqi Xiao, Jingbo Wang, Tai Wang, Jinkun Cao, Xiaolin Hu, Si Liu, Jifeng Dai, and Jiangmiao Pang · 2024
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Plamo: Plan and move in rich 3d physical environments
Assaf Hallak, Gal Dalal, Chen Tessler, Kelly Guo, Shie Mannor, and Gal Chechik · 2024
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Exbody2: Advanced expressive humanoid whole-body control
Mazeyu Ji, Xuanbin Peng, Fangchen Liu, Jialong Li, Ge Yang, Xuxin Cheng, and Xiaolong Wang · 2024
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Autonomous character-scene interaction synthesis from text instruction
Nan Jiang, Zimo He, Zi Wang, Hongjie Li, Yixin Chen, Siyuan Huang, and Yixin Zhu · 2024
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Partwisempc: Interactive control of contact-guided motions
Niloofar Khoshsiyar, Ruiyu Gou, Tianhong Zhou, Sheldon Andrews, and M van de Panne · 2024
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Physics-based scene layout generation from human motion
Jianan Li, Tao Huang, Qingxu Zhu, and Tien-Tsin Wong · 2024
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Synthesizing physically plausible human motions in 3d scenes
Liang Pan, Jingbo Wang, Buzhen Huang, Junyu Zhang, Haofan Wang, Xu Tang, and Yangang Wang · 2024
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Vmp: Versatile motion priors for robustly tracking motion on physical characters
Agon Serifi, Ruben Grandia, Espen Knoop, Markus Gross, and Moritz Bächer · 2024
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Interactive character control with auto-regressive motion diffusion models
Yi Shi, Jingbo Wang, Xuekun Jiang, Bingkun Lin, Bo Dai, and Xue Bin Peng · 2024
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Maskedmimic: Unified physics-based character control through masked motion inpainting
Chen Tessler, Yunrong Guo, Ofir Nabati, Gal Chechik, and Xue Bin Peng · 2024
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Tlcontrol: Trajectory and language control for human motion synthesis
Weilin Wan, Zhiyang Dou, Taku Komura, Wenping Wang, Dinesh Jayaraman, and Lingjie Liu · 2024
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Strategy and skill learning for physics-based table tennis animation
Jiashun Wang, Jessica Hodgins, and Jungdam Won · 2024
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Human-object interaction from human-level instructions
Zhen Wu, Jiaman Li, Pei Xu, and C Karen Liu · 2024
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Unified human-scene interaction via prompted chain-of-contacts
Zeqi Xiao, Tai Wang, Jingbo Wang, Jinkun Cao, Wenwei Zhang, Bo Dai, Dahua Lin, and Jiangmiao Pang · 2024
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Moconvq: Unified physics-based motion control via scalable discrete representations
Heyuan Yao, Zhenhua Song, Yuyang Zhou, Tenglong Ao, Baoquan Chen, and Libin Liu · 2024
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Generating human interaction motions in scenes with text control
Hongwei Yi, Justus Thies, Michael J Black, Xue Bin Peng, and Davis Rempe · 2024
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Roam: Robust and object-aware motion generation using neural pose descriptors
Wanyue Zhang, Rishabh Dabral, Thomas Leimkühler, Vladislav Golyanik, Marc Habermann, and Christian Theobalt · 2024
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Emdm: Efficient motion diffusion model for fast and high-quality motion generation
Wenyang Zhou, Zhiyang Dou, Zeyu Cao, Zhouyingcheng Liao, Jingbo Wang, Wenjia Wang, Yuan Liu, Taku Komura, Wenping Wang, and Lingjie Liu · 2024
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Hifar: Multi-stage curriculum learning for high-dynamics humanoid fall recovery
Penghui Chen, Yushi Wang, Changsheng Luo, Wenhan Cai, and Mingguo Zhao · 2025
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Asap: Aligning simulation and real-world physics for learning agile humanoid whole-body skills
Tairan He, Jiawei Gao, Wenli Xiao, Yuanhang Zhang, Zi Wang, Jiashun Wang, Zhengyi Luo, Guanqi He, Nikhil Sobanbab, Chaoyi Pan, et al · 2025
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Learning humanoid standing-up control across diverse postures
Tao Huang, Junli Ren, Huayi Wang, Zirui Wang, Qingwei Ben, Muning Wen, Xiao Chen, Jianan Li, and Jiangmiao Pang · 2025
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Learning physics-based full-body human reaching and grasping from brief walking references
Yitang Li, Mingxian Lin, Zhuo Lin, Yipeng Deng, Yue Cao, and Li Yi · 2025
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Beamdojo: Learning agile humanoid locomotion on sparse footholds
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