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Modeling human-scene interactions (HSI) is essential for understanding and simulating everyday human behaviors.
Verbs and adverbs: multidimensional motion interpolation
C. Rose, M.F. Cohen, and B. Bodenheimer · 1998
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Interactive motion generation from examples
Okan Arikan and David A Forsyth · 2002
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Geostatistical motion interpolation
Tomohiko Mukai and Shigeru Kuriyama · 2005
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Motion-motif graphs
Philippe Beaudoin, Stelian Coros, Michiel Van de Panne, and Pierre Poulin · 2008
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Synthesizing long-term 3d human motion and interaction in 3d scenes
Jiashun Wang, Huazhe Xu, Jingwei Xu, Sifei Liu, and Xiaolong Wang · 2012
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Efficient nonlinear markov models for human motion
Andreas M. Lehrmann, Peter V. Gehler, and Sebastian Nowozin · 2014
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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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Torchvision: Pytorch’s computer vision library
TorchVision maintainers and contributors · 2016
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Recurrent transition networks for character locomotion
Félix G Harvey and Christopher Pal · 2018
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Data-driven autocompletion for keyframe animation
Xinyi Zhang and Michiel Van De Panne · 2018
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Resolving 3D human pose ambiguities with 3D scene constraints
Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas, and Michael J. Black · 2019
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Dancing to music
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, and Jan Kautz · 2019
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Decoupled weight decay regularization, 2019
Ilya Loshchilov and Frank Hutter · 2019
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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, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
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Efficient learning on point clouds with basis point sets
Sergey Prokudin, Christoph Lassner, and Javier Romero · 2019
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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, 2020
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Accelerating 3d deep learning with pytorch3d
Nikhila Ravi, Jeremy Reizenstein, David Novotny, Taylor Gordon, Wan-Yen Lo, Justin Johnson, and Georgia Gkioxari · 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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Single-shot motion completion with transformer
Yinglin Duan, Tianyang Shi, Zhengxia Zou, Yenan Lin, Zhehui Qian, Bohan Zhang, and Yi Yuan · 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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Ai choreographer: Music conditioned 3d dance generation with aist++, 2021
Ruilong Li, Shan Yang, David A. Ross, and Angjoo Kanazawa · 2021
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Improved denoising diffusion probabilistic models, 2021
Alex Nichol and Prafulla Dhariwal · 2021
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Action-conditioned 3d human motion synthesis with transformer vae
Mathis Petrovich, Michael J Black, and Gül Varol · 2021
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Behave: Dataset and method for tracking human object interactions
Bharat Lal Bhatnagar, Xianghui Xie, Ilya Petrov, Cristian Sminchisescu, Christian Theobalt, and Gerard Pons-Moll · 2022
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Masked-attention mask transformer for universal image segmentation
Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, and Rohit Girdhar · 2022
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Conditional motion in-betweening
Jihoon Kim, Taehyun Byun, Seungyoun Shin, Jungdam Won, and Sungjoon Choi · 2022
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TEMOS: Generating diverse human motions from textual descriptions
Mathis Petrovich, Michael J. Black, and Gül Varol · 2022
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Motion in-betweening via two-stage transformers
Jia Qin, Youyi Zheng, and Kun Zhou · 2022
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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
Being comes from not-being: Open-vocabulary text-to-motion generation with wordless training
J. Lin, J. Chang, L. Liu, G. Li, L. Lin, Q. Tian, and C. Chen · 2023
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Revisit human-scene interaction via space occupancy
Xinpeng Liu, Haowen Hou, Yanchao Yang, Yong-Lu Li, and Cewu Lu · 2023
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Motion in-betweening via deep
Boris N Oreshkin, Antonios Valkanas, Félix G Harvey, Louis-Simon Ménard, Florent Bocquelet, and Mark J Coates · 2023
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Diffdance: Cascaded human motion diffusion model for dance generation
Qiaosong Qi, Le Zhuo, Aixi Zhang, Yue Liao, Fei Fang, Si Liu, and Shuicheng Yan · 2023
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Human motion diffusion as a generative prior
Yonatan Shafir, Guy Tevet, Roy Kapon, and Amit H Bermano · 2023
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Cited alongside, same era.
Edge: Editable dance generation from music
Jonathan Tseng, Rodrigo Castellon, and C Karen Liu · 2022
Cited alongside, same era.
Motiondiffuse: Text-driven human motion generation with diffusion model
Mingyuan Zhang, Zhongang Cai, Liang Pan, Fangzhou Hong, Xinying Guo, Lei Yang, and Ziwei Liu · 2022
Cited alongside, same era.
The wanderings of odysseus in 3d scenes
Yan Zhang and Siyu Tang · 2022
Cited alongside, same era.
Compositional human-scene interaction synthesis with semantic control
Kaifeng Zhao, Shaofei Wang, Yan Zhang, Thabo Beeler, , and Siyu Tang · 2022
Cited alongside, same era.
Gimo: Gaze-informed human motion prediction in context
Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, C Karen Liu, and Leonidas J Guibas · 2022
Cited alongside, same era.
Listen, denoise, action! audio-driven motion synthesis with diffusion models
Simon Alexanderson, Rajmund Nagy, Jonas Beskow, and Gustav Eje Henter · 2023
Cited alongside, same era.
Human motion diffusion model
Guy Tevet, Sigal Raab, Brian Gordon, Yoni Shafir, Daniel Cohen-or, and Amit Haim Bermano · 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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Omnicontrol: Control any joint at any time for human motion generation
Yiming Xie, Varun Jampani, Lei Zhong, Deqing Sun, and Huaizu Jiang · 2023
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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
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PhysDiff: Physics-guided human motion diffusion model
Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, and Jan Kautz · 2023
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Generating human motion in 3d scenes from text descriptions
Zhi Cen, Huaijin Pi, Sida Peng, Zehong Shen, Minghui Yang, Zhu Shuai, Hujun Bao, and Xiaowei Zhou · 2024
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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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Motionmix: Weakly-supervised diffusion for controllable motion generation, 2024
Nhat M. Hoang, Kehong Gong, Chuan Guo, and Michael Bi Mi · 2024
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Stablemofusion: Towards robust and efficient diffusion-based motion generation framework
Yiheng Huang, Yang Hui, Chuanchen Luo, Yuxi Wang, Shibiao Xu, Zhaoxiang Zhang, Man Zhang, and Junran Peng · 2024
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Nfl: Normal field learning for 6-dof grasping of transparent objects
Junho Lee, Sang Min Kim, Yonghyeon Lee, and Young Min Kim · 2024
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pix2gestalt: Amodal segmentation by synthesizing wholes
Ege Ozguroglu, Ruoshi Liu, Dídac Surś, Dian Chen, Achal Dave, Pavel Tokmakov, and Carl Vondrick · 2024
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STMC: Multi-track timeline control for text-driven 3d human motion generation
Mathis Petrovich, Or Litany, Umar Iqbal, Michael J. Black, Gül Varol, Xue Bin Peng, and Davis Rempe · 2024
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Controlmm: Controllable masked motion generation
Ekkasit Pinyoanuntapong, Muhammad Usama Saleem, Korrawe Karunratanakul, Pu Wang, Hongfei Xue, Chen Chen, Chuan Guo, Junli Cao, Jian Ren, and Sergey Tulyakov · 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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Jiale Xu, Weihao Cheng, Yiming Gao, Xintao Wang, Shenghua Gao, and Ying Shan · 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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Rohm: Robust human motion reconstruction via diffusion
Siwei Zhang, Bharat Lal Bhatnagar, Yuanlu Xu, Alexander Winkler, Petr Kadlecek, Siyu Tang, and Federica Bogo · 2024
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Less is more: Improving motion diffusion models with sparse keyframes, 2025
Jinseok Bae, Inwoo Hwang, Young Yoon Lee, Ziyu Guo, Joseph Liu, Yizhak Ben-Shabat, Young Min Kim, and Mubbasir Kapadia · 2025
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Snapmogen: Human motion generation from expressive texts, 2025
Chuan Guo, Inwoo Hwang, Jian Wang, and Bing Zhou · 2025
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A survey on human interaction motion generation, 2025
Kewei Sui, Anindita Ghosh, Inwoo Hwang, Bing Zhou, Jian Wang, and Chuan Guo · 2025
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