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Text-conditioned human motion generation, which allows for user interaction through natural language, has become increasingly popular.
Introduction to reinforcement learning , volume 135
Richard S Sutton and Andrew G Barto · 1998
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Motion graphs
Lucas Kovar, Michael Gleicher, and Frédéric Pighin · 2008
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Auto-Encoding Variational Bayes
Diederik P. Kingma and Max Welling · 2014
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Scheduled sampling for sequence prediction with recurrent neural networks
Samy Bengio, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer · 2015
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Fast R-CNN
Ross Girshick · 2015
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Learning motion manifolds with convolutional autoencoders
Daniel Holden, Jun Saito, Taku Komura, and Thomas Joyce · 2015
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Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba · 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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Motion matching and the road to next-gen animation
Simon Clavet et al · 2016
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Phase-functioned neural networks for character control
Daniel Holden, Taku Komura, and Jun Saito · 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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Mode-adaptive neural networks for quadruped motion control
He Zhang, Sebastian Starke, Taku Komura, and Jun Saito · 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
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Expressive body capture: 3D hands, face, and body from a single image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, and Michael J. Black · 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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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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Ml tutorial day: From motion matching to motion synthesis, and all the hurdles in between
Fabio Zinno · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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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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What matters for on-policy deep actor-critic methods? a large-scale study
Marcin Andrychowicz, Anton Raichuk, Piotr Stańczyk, Manu Orsini, Sertan Girgin, Raphaël Marinier, Leonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, and Olivier Bachem · 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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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2021
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BABEL: Bodies, action and behavior with english labels
Abhinanda R Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou, Alejandra Quiros-Ramirez, and Michael J Black · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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HuMoR: 3d human motion model for robust pose estimation
Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, and Leonidas J Guibas · 2021
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Rhythmic gesticulator: Rhythm-aware co-speech gesture synthesis with hierarchical neural embeddings
Tenglong Ao, Qingzhe Gao, Yuke Lou, Baoquan Chen, and Libin Liu · 2022
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TEACH: Temporal action composition for 3d humans
Nikos Athanasiou, Mathis Petrovich, Michael J Black, and Gül Varol · 2022
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Interdiff: Generating 3d human-object interactions with physics-informed diffusion
Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, and Liang-Yan Gui · 2023
Later among the works it cites.
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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Synthesizing diverse human motions in 3d indoor scenes
Kaifeng Zhao, Yan Zhang, Shaofei Wang, Thabo Beeler, and Siyu Tang · 2023
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Seamless human motion composition with blended positional encodings
German Barquero, Sergio Escalera, and Cristina Palmero · 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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Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, and Li Cheng · 2022
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Video diffusion models
Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, and David J Fleet · 2022
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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.
TEMOS: Generating diverse human motions from textual descriptions
Mathis Petrovich, Michael J Black, and Gül Varol · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Bailando: 3d dance generation by actor-critic gpt with choreographic memory
Li Siyao, Weijiang Yu, Tianpei Gu, Chunze Lin, Quan Wang, Chen Qian, Chen Change Loy, and Ziwei Liu · 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.
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Flexible motion in-betweening with diffusion models
Setareh Cohan, Guy Tevet, Daniele Reda, Xue Bin Peng, and Michiel van de Panne · 2024
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MoMask: Generative masked modeling of 3d human motions
Chuan Guo, Yuxuan Mu, Muhammad Gohar Javed, Sen Wang, and Li Cheng · 2024
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AMD: Autoregressive motion diffusion
Bo Han, Hao Peng, Minjing Dong, Yi Ren, Yixuan Shen, and Chang Xu · 2024
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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 · 2024
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Intergen: Diffusion-based multi-human motion generation under complex interactions
Han Liang, Wenqian Zhang, Wenxuan Li, Jingyi Yu, and Lan Xu · 2024
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Revisit human-scene interaction via space occupancy
Xinpeng Liu, Haowen Hou, Yanchao Yang, Yong-Lu Li, and Cewu Lu · 2024
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Universal humanoid motion representations for physics-based control
Zhengyi Luo, Jinkun Cao, Josh Merel, Alexander Winkler, Jing Huang, Kris M Kitani, and Weipeng Xu · 2024
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Human motion diffusion as a generative prior
Yoni Shafir, Guy Tevet, Roy Kapon, and Amit Haim Bermano · 2024
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Towards open domain text-driven synthesis of multi-person motions
Mengyi Shan, Lu Dong, Yutao Han, Yuan Yao, Tao Liu, Ifeoma Nwogu, Guo-Jun Qi, and Mitch Hill · 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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Categorical codebook matching for embodied character controllers
Sebastian Starke, Paul Starke, Nicky He, Taku Komura, and Yuting Ye · 2024
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Elucidating the hierarchical nature of behavior with masked autoencoders
Lucas Stoffl, Andy Bonnetto, Stéphane d’Ascoli, and Alexander Mathis · 2024
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DiffusionPoser: Real-time human motion reconstruction from arbitrary sparse sensors using autoregressive diffusion
Tom Van Wouwe, Seunghwan Lee, Antoine Falisse, Scott Delp, and C Karen Liu · 2024
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Move as you say, interact as you can: Language-guided human motion generation with scene affordance
Zan Wang, Yixin Chen, Baoxiong Jia, Puhao Li, Jinlu Zhang, Jingze Zhang, Tengyu Liu, Yixin Zhu, Wei Liang, and Siyuan Huang · 2024
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OmniControl: Control any joint at any time for human motion generation
Yiming Xie, Varun Jampani, Lei Zhong, Deqing Sun, and Huaizu Jiang · 2024
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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 · 2025
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CLoSD: Closing the loop between simulation and diffusion for multi-task character control
Guy Tevet, Sigal Raab, Setareh Cohan, Daniele Reda, Zhengyi Luo, Xue Bin Peng, Amit H Bermano, and Michiel van de Panne · 2025
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FORCE: Dataset and method for intuitive physics guided human-object interaction
Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke, Ilya A. Petrov, Vladimir Guzov, Helisa Dhamo, Eduardo Pérez Pellitero, and Gerard Pons-Moll · 2025
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