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Humans interact with objects all the time.
Animating human athletics
Jessica K. Hodgins, Wayne L. Wooten, David C. Brogan, and James F. O’Brien · 1995
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Applying artificial intelligence to virtual reality: Intelligent virtual environments
Michael Luck and Ruth Aylett · 2000
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Generalized biped walking control
Stelian Coros, Philippe Beaudoin, and Michiel van de Panne · 2010
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Spatial relationship preserving character motion adaptation
Edmond SL Ho, Taku Komura, and Chiew-Lan Tai · 2010
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2010
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Interactive character animation using simulated physics: A state-of-the-art review
Thomas Geijtenbeek and Nicolas Pronost · 2012
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Animation and automation–the liveliness and labours of bodies and machines
Jackie Stacey and Lucy Suchman · 2012
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Mujoco: A physics engine for model-based control
Emanuel Todorov, Tom Erez, and Yuval Tassa · 2012
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Learning bicycle stunts
Jie Tan, Yuting Gu, C. Karen Liu, and Greg Turk · 2014
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Shapenet: An information-rich 3d model repository
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 2015
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Recurrent network models for human dynamics
Katerina Fragkiadaki, Sergey Levine, Panna Felsen, and Jitendra Malik · 2015
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Pybullet, a python module for physics simulation for games, robotics and machine learning
Erwin Coumans and Yunfei Bai · 2016
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Generative adversarial imitation learning
Jonathan Ho and Stefano Ermon · 2016
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A deep learning framework for character motion synthesis and editing
Daniel Holden, Jun Saito, and Taku Komura · 2016
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The KIT motion-language dataset
Matthias Plappert, Christian Mandery, and Tamim Asfour · 2016
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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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On human motion prediction using recurrent neural networks
Julieta Martinez, Michael J. Black, and Javier Romero · 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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Detecting and recognizing human-object interactions
Georgia Gkioxari, Ross Girshick, Piotr Dollár, and Kaiming He · 2018
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Learning basketball dribbling skills using trajectory optimization and deep reinforcement learning
Jessica Hodgins Libin Liu · 2018
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Deepmimic
Xue Bin Peng, Pieter Abbeel, Sergey Levine, and Michiel van de Panne · 2018
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Physics-based full-body soccer motion control for dribbling and shooting
Seokpyo Hong, Daseong Han, Kyungmin Cho, Joseph S Shin, and Junyong Noh · 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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Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever · 2019
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Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 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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Robots learn social skills: End-to-end learning of co-speech gesture generation for humanoid robots
Youngwoo Yoon, Woo-Ri Ko, Minsu Jang, Jaeyeon Lee, Jaehong Kim, and Geehyuk Lee · 2019
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Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
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Physics-based dexterous manipulations with estimated hand poses and residual reinforcement learning
Guillermo Garcia-Hernando, Edward Johns, and Tae-Kyun Kim · 2020
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Action2motion: Conditioned generation of 3d human motions
Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng, Minglun Gong, and Li Cheng · 2020
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Robust motion in-betweening
Félix G. Harvey, Mike Yurick, Derek Nowrouzezahrai, and Christopher Pal · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 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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Learning agile robotic locomotion skills by imitating animals
Xue Bin Peng, Erwin Coumans, Tingnan Zhang, Tsang-Wei Edward Lee, Jie Tan, and Sergey Levine · 2020
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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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Perceiving 3d human-object spatial arrangements from a single image in the wild
Jason Y Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, and Angjoo Kanazawa · 2020
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Supertrack: Motion tracking for physically simulated characters using supervised learning
Levi Fussell, Kevin Bergamin, and Daniel Holden · 2021
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Stochastic scene-aware motion prediction
Mohamed Hassan, Duygu Ceylan, Ruben Villegas, Jun Saito, Jimei Yang, Yi Zhou, and Michael Black · 2021
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Detecting human-object relationships in videos
Physdiff: Physics-guided human motion diffusion model, 2022
Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, and Jan Kautz · 2022
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Human-object interaction detection via disentangled transformer
Desen Zhou, Zhichao Liu, Jian Wang, Leshan Wang, Tao Hu, Errui Ding, and Jingdong Wang · 2022
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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
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Zoedepth: Zero-shot transfer by combining relative and metric depth
Shariq Farooq Bhat, Reiner Birkl, Diana Wofk, Peter Wonka, and Matthias Müller · 2023
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Mofusion: A framework for denoising-diffusion-based motion synthesis
Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, and Christian Theobalt · 2023
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Jingwei Ji, Rishi Desai, and Juan Carlos Niebles · 2021
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Learn to dance with aist++: Music conditioned 3d dance generation, 2021
Ruilong Li, Shan Yang, David A. Ross, and Angjoo Kanazawa · 2021
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Dynamics-regulated kinematic policy for egocentric pose estimation
Zhengyi Luo, Ryo Hachiuma, Ye Yuan, and Kris Kitani · 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, and Gavriel State · 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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Action-conditioned 3d human motion synthesis with transformer vae
Mathis Petrovich, Michael J. Black, and Gul Varol · 2021
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021
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Learning dexterous manipulation from exemplar object trajectories and pre-grasps
Sudeep Dasari, Abhinav Gupta, and Vikash Kumar · 2023
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Arctic: A dataset for dexterous bimanual hand-object manipulation
Zicong Fan, Omid Taheri, Dimitrios Tzionas, Muhammed Kocabas, Manuel Kaufmann, Michael J Black, and Otmar Hilliges · 2023
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Gapartnet: Cross-category domain-generalizable object perception and manipulation via generalizable and actionable parts
Haoran Geng, Helin Xu, Chengyang Zhao, Chao Xu, Li Yi, Siyuan Huang, and He Wang · 2023
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Imos: Intent-driven full-body motion synthesis for human-object interactions
Anindita Ghosh, Rishabh Dabral, Vladislav Golyanik, Christian Theobalt, and Philipp Slusallek · 2023
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Grounded-Segment-Anything: https://github.com/IDEA-Research/Grounded-Segment-Anything, 2023
Grounded-SAM Contributors · 2023
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Synthesizing physical character-scene interactions
Mohamed Hassan, Yunrong Guo, Tingwu Wang, Michael Black, Sanja Fidler, and Xue Bin Peng · 2023
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Compositional 3d human-object neural animation
Zhi Hou, Baosheng Yu, and Dacheng Tao · 2023
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Act as you wish: Fine-grained control of motion diffusion model with hierarchical semantic graphs
Peng Jin, Yang Wu, Yanbo Fan, Zhongqian Sun, Yang Wei, and Li Yuan · 2023
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Mas: Multi-view ancestral sampling for 3d motion generation using 2d diffusion
Roy Kapon, Guy Tevet, Daniel Cohen-Or, and Amit H Bermano · 2023
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NCHO: Unsupervised learning for neural 3d composition of humans and objects
Taeksoo Kim, Shunsuke Saito, and Hanbyul Joo · 2023
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Locomotion-action-manipulation: Synthesizing human-scene interactions in complex 3d environments
Jiye Lee and Hanbyul Joo · 2023
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Object motion guided human motion synthesis
Jiaman Li, Jiajun Wu, and C Karen Liu · 2023
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Motion-x: A large-scale 3d expressive whole-body human motion dataset
Jing Lin, Ailing Zeng, Shunlin Lu, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, and Lei Zhang · 2023
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Humantomato: Text-aligned whole-body motion generation
Shunlin Lu, Ling-Hao Chen, Ailing Zeng, Jing Lin, Ruimao Zhang, Lei Zhang, and Heung-Yeung Shum · 2023
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Perpetual humanoid control for real-time simulated avatars, 2023
Zhengyi Luo, Jinkun Cao, Alexander Winkler, Kris Kitani, and Weipeng Xu · 2023
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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 · 2023
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Object pop-up: Can we infer 3d objects and their poses from human interactions alone?
Ilya A Petrov, Riccardo Marin, Julian Chibane, and Gerard Pons-Moll · 2023
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Hierarchical generation of human-object interactions with diffusion probabilistic models
Huaijin Pi, Sida Peng, Minghui Yang, Xiaowei Zhou, and Hujun Bao · 2023
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Diffmimic: Efficient motion mimicking with differentiable physics
Jiawei Ren, Cunjun Yu, Siwei Chen, Xiao Ma, Liang Pan, and Ziwei Liu · 2023
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Controllable motion diffusion model
Yi Shi, Jingbo Wang, Xuekun Jiang, and Bo Dai · 2023
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Learning and adapting agile locomotion skills by transferring experience
Laura M. Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, and Sergey Levine · 2023
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Flex: Full-body grasping without full-body grasps
Purva Tendulkar, Dídac Surís, and Carl Vondrick · 2023
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Human motion diffusion model
Guy Tevet, Sigal Raab, Brian Gordon, Yoni Shafir, Daniel Cohen-or, and Amit Haim Bermano · 2023
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DECO: Dense estimation of 3D human-scene contact in the wild
Shashank Tripathi, Agniv Chatterjee, Jean-Claude Passy, Hongwei Yi, Dimitrios Tzionas, and Michael J. Black · 2023
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Edge: Editable dance generation from music
Jonathan Tseng, Rodrigo Castellon, and Karen Liu · 2023
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Zero-shot image restoration using denoising diffusion null-space model
Yinhuai Wang, Jiwen Yu, and Jian Zhang · 2023
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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 · 2023
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Simulation and retargeting of complex multi-character interactions
Yunbo Zhang, Deepak Gopinath, Yuting Ye, Jessica Hodgins, Greg Turk, and Jungdam Won · 2023
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Physically plausible full-body hand-object interaction synthesis
Jona Braun, Sammy Christen, Muhammed Kocabas, Emre Aksan, and Otmar Hilliges · 2024
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