Fetching the paper…
Reading the bibliography…
We present a physics-based character control framework for synthesizing human-scene interactions.
A formal basis for the heuristic determination of minimum cost paths
Peter E Hart, Nils J Nilsson, and Bertram Raphael · 1968
Earlier work this paper cites.
The cma evolution strategy: a comparing review
Nikolaus Hansen · 2006
Earlier work this paper cites.
Sampling-based contact-rich motion control
Libin Liu, KangKang Yin, Michiel Van de Panne, Tianjia Shao, and Weiwei Xu · 2010
Earlier work this paper cites.
Mujoco: A physics engine for model-based control
Emanuel Todorov, Tom Erez, and Yuval Tassa · 2012
Earlier work this paper cites.
Improving sampling-based motion control
Libin Liu, KangKang Yin, and Baining Guo · 2015
Earlier work this paper cites.
Generative adversarial imitation learning
Jonathan Ho and Stefano Ermon · 2016
Earlier work this paper cites.
Phase-functioned neural networks for character control
Daniel Holden, Taku Komura, and Jun Saito · 2017
Earlier work this paper cites.
Learning basketball dribbling skills using trajectory optimization and deep reinforcement learning
Libin Liu and Jessica Hodgins · 2018
Earlier work this paper cites.
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.
Neural state machine for character-scene interactions
Sebastian Starke, He Zhang, Taku Komura, and Jun Saito · 2019
Earlier work this paper cites.
On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
Earlier work this paper cites.
Character controllers using motion vaes
Hung Yu Ling, Fabio Zinno, George Cheng, and Michiel Van De Panne · 2020
Earlier work this paper cites.
Local motion phases for learning multi-contact character movements
Sebastian Starke, Yiwei Zhao, Taku Komura, and Kazi Zaman · 2020
Earlier work this paper cites.
Learning to sit: Synthesizing human-chair interactions via hierarchical control
Yu-Wei Chao, Jimei Yang, Weifeng Chen, and Jia Deng · 2021
Earlier work this paper cites.
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
Earlier work this paper cites.
Supertrack: Motion tracking for physically simulated characters using supervised learning
Levi Fussell, Kevin Bergamin, and Daniel Holden · 2021
Earlier work this paper cites.
Stochastic scene-aware motion prediction
Mohamed Hassan, Duygu Ceylan, Ruben Villegas, Jun Saito, Jimei Yang, Yi Zhou, and Michael J Black · 2021
Earlier work this paper cites.
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
Cited alongside, same era.
Amp: Adversarial motion priors for stylized physics-based character control
Xue Bin Peng, Ze Ma, Pieter Abbeel, Sergey Levine, and Angjoo Kanazawa · 2021
Cited alongside, same era.
Synthesizing long-term 3d human motion and interaction in 3d scenes
Jiashun Wang, Huazhe Xu, Jingwei Xu, Sifei Liu, and Xiaolong Wang · 2021
Cited alongside, same era.
Discovering diverse athletic jumping strategies
Zhiqi Yin, Zeshi Yang, Michiel Van De Panne, and Kangkang Yin · 2021
Cited alongside, same era.
Neural mocon: Neural motion control for physically plausible human motion
Buzhen Huang, Liang Pan, Yuan Yang, Jingyi Ju, and Yangang Wang · 2022
Cited alongside, same era.
C· ase: Learning conditional adversarial skill embeddings for physics-based characters
Zhiyang Dou, Xuelin Chen, Qingnan Fan, Taku Komura, and Wenping Wang · 2023
Closest in time.
Synthesizing physical character-scene interactions
Mohamed Hassan, Yunrong Guo, Tingwu Wang, Michael Black, Sanja Fidler, and Xue Bin Peng · 2023
Closest in time.
Diffusion-based generation, optimization, and planning in 3d scenes
Siyuan Huang, Zan Wang, Puhao Li, Baoxiong Jia, Tengyu Liu, Yixin Zhu, Wei Liang, and Song-Chun Zhu · 2023
Closest in time.
Locomotion-action-manipulation: Synthesizing human-scene interactions in complex 3d environments
Jiye Lee and Hanbyul Joo · 2023
Closest in time.
Object motion guided human motion synthesis
Jiaman Li, Jiajun Wu, and C Karen Liu · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Padl: Language-directed physics-based character control
Jordan Juravsky, Yunrong Guo, Sanja Fidler, and Xue Bin Peng · 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.
Deepphase: Periodic autoencoders for learning motion phase manifolds
Sebastian Starke, Ian Mason, and Taku Komura · 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.
Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Daniel Cohen-Or, and Amit H Bermano · 2022
Cited alongside, same era.
Towards diverse and natural scene-aware 3d human motion synthesis
Jingbo Wang, Yu Rong, Jingyuan Liu, Sijie Yan, Dahua Lin, and Bo Dai · 2022
Cited alongside, same era.
Physics-based character controllers using conditional vaes
Jungdam Won, Deepak Gopinath, and Jessica Hodgins · 2022
Cited alongside, same era.
Zhengyi Luo, Jinkun Cao, Alexander Winkler, Kris Kitani, and Weipeng Xu · 2023
Closest in time.
Hierarchical generation of human-object interactions with diffusion probabilistic models
Huaijin Pi, Sida Peng, Minghui Yang, Xiaowei Zhou, and Hujun Bao · 2023
Closest in time.
Trace and pace: Controllable pedestrian animation via guided trajectory diffusion
Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, and Or Litany · 2023
Closest in time.
Calm: Conditional adversarial latent models for directable virtual characters
Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, and Xue Bin Peng · 2023
Closest in time.
Unified human-scene interaction via prompted chain-of-contacts
Zeqi Xiao, Tai Wang, Jingbo Wang, Jinkun Cao, Bo Dai, Dahua Lin, and Jiangmiao Pang · 2023
Closest in time.
Hierarchical planning and control for box loco-manipulation
Zhaoming Xie, Jonathan Tseng, Sebastian Starke, Michiel van de Panne, and C Karen Liu · 2023
Closest in time.
Interdiff: Generating 3d human-object interactions with physics-informed diffusion
Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, and Liang-Yan Gui · 2023
Closest in time.
Learning physically simulated tennis skills from broadcast videos
Haotian Zhang, Ye Yuan, Viktor Makoviychuk, Yunrong Guo, Sanja Fidler, Xue Bin Peng, and Kayvon Fatahalian · 2023
Closest in time.
Synthesizing diverse human motions in 3d indoor scenes
Kaifeng Zhao, Yan Zhang, Shaofei Wang, Thabo Beeler, and Siyu Tang · 2023
Closest in time.
Emdm: Efficient motion diffusion model for fast, 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 · 2023
Closest in time.
Generating continual human motion in diverse 3d scenes
Aymen Mir, Xavier Puig, Angjoo Kanazawa, and Gerard Pons-Moll · 2024
Closest in time.