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Conditional human motion generation is an important topic with many applications in virtual reality, gaming, and robotics.
Reaction-anticipation transitions in human perception-action patterns
David A Engström, JA Scott Kelso, and Tom Holroyd · 1996
Earlier work this paper cites.
No anticipation–no action: the role of anticipation in action and perception
Wilfried Kunde, Katrin Elsner, and Andrea Kiesel · 2007
Earlier work this paper cites.
Sensitivity of smoothness measures to movement duration, amplitude, and arrests
Neville Hogan and Dagmar Sternad · 2009
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A robust and sensitive metric for quantifying movement smoothness
Sivakumar Balasubramanian, Alejandro Melendez-Calderon, and Etienne Burdet · 2011
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Video-based human behavior understanding: A survey
Paulo Vinicius Koerich Borges, Nicola Conci, and Andrea Cavallaro · 2013
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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On the analysis of movement smoothness
Sivakumar Balasubramanian, Alejandro Melendez-Calderon, Agnes Roby-Brami, and Etienne Burdet · 2015
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A review of computable expressive descriptors of human motion
Caroline Larboulette and Sylvie Gibet · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
Earlier work this paper cites.
Keep it smpl: Automatic estimation of 3d human pose and shape from a single image
Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter Gehler, Javier Romero, and Michael J Black · 2016
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The kit motion-language dataset
Matthias Plappert, Christian Mandery, and Tamim Asfour · 2016
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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The pose knows: Video forecasting by generating pose futures
Jacob Walker, Kenneth Marino, Abhinav Gupta, and Martial Hebert · 2017
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Generative adversarial networks: An overview
Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, and Anil A Bharath · 2018
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Smoothness metrics in complex movement tasks
Philipp Gulde and Joachim Hermsdörfer · 2018
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Assessing generative models via precision and recall
Mehdi SM Sajjadi, Olivier Bachem, Mario Lucic, Olivier Bousquet, and Sylvain Gelly · 2018
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Auto-conditioned recurrent networks for extended complex human motion synthesis
Yi Zhou, Zimo Li, Shuangjiu Xiao, Chong He, Zeng Huang, and Hao Li · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova · 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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Longformer: The long-document transformer
Iz Beltagy, Matthew E Peters, and Arman Cohan · 2020
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Long-term human motion prediction with scene context
Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, and Jitendra Malik · 2020
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Context-aware human motion prediction
Enric Corona, Albert Pumarola, Guillem Alenya, and Francesc Moreno-Noguer · 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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Convolutional autoencoders for human motion infilling
Manuel Kaufmann, Emre Aksan, Jie Song, Fabrizio Pece, Remo Ziegler, and Otmar Hilliges · 2020
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Deepdance: music-to-dance motion choreography with adversarial learning
Guofei Sun, Yongkang Wong, Zhiyong Cheng, Mohan S Kankanhalli, Weidong Geng, and Xiangdong Li · 2020
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Choreonet: Towards music to dance synthesis with choreographic action unit
Zijie Ye, Haozhe Wu, Jia Jia, Yaohua Bu, Wei Chen, Fanbo Meng, and Yanfeng Wang · 2020
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Dlow: Diversifying latent flows for diverse human motion prediction
Ye Yuan and Kris Kitani · 2020
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Perpetual motion: Generating unbounded human motion
Yan Zhang, Michael J Black, and Siyu Tang · 2020
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Generative tweening: Long-term inbetweening of 3d human motions
Yi Zhou, Jingwan Lu, Connelly Barnes, Jimei Yang, Sitao Xiang, et al · 2020
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Tripod: Human trajectory and pose dynamics forecasting in the wild
Vida Adeli, Mahsa Ehsanpour, Ian Reid, Juan Carlos Niebles, Silvio Savarese, Ehsan Adeli, and Hamid Rezatofighi · 2021
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Contextually plausible and diverse 3d human motion prediction
Sadegh Aliakbarian, Microsoft Fatemeh Saleh ACRV, Stephen Gould ACRV, and Anu Mathieu Salzmann CVLab · 2021
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Choreomaster: choreography-oriented music-driven dance synthesis
Kang Chen, Zhipeng Tan, Jin Lei, Song-Hai Zhang, Yuan-Chen Guo, Weidong Zhang, and Shi-Min Hu · 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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Task-generic hierarchical human motion prior using vaes
Jiaman Li, Ruben Villegas, Duygu Ceylan, Jimei Yang, Zhengfei Kuang, Hao Li, and Yajie Zhao · 2021
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Ai choreographer: Music conditioned 3d dance generation with aist++
Ruilong Li, Shan Yang, David A Ross, and Angjoo Kanazawa · 2021
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Pixel codec avatars
Shugao Ma, Tomas Simon, Jason Saragih, Dawei Wang, Yuecheng Li, Fernando De La Torre, and Yaser Sheikh · 2021
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Generating smooth pose sequences for diverse human motion prediction
Wei Mao, Miaomiao Liu, and Mathieu Salzmann · 2021
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Improved denoising diffusion probabilistic models
Alexander Quinn Nichol and Prafulla Dhariwal · 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
Cited alongside, same era.
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
Cited alongside, same era.
Roformer: Enhanced transformer with rotary position embedding
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
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The wanderings of odysseus in 3d scenes
Yan Zhang and Siyu Tang · 2022
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Music2dance: Dancenet for music-driven dance generation
Wenlin Zhuang, Congyi Wang, Jinxiang Chai, Yangang Wang, Ming Shao, and Siyu Xia · 2022
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Listen, denoise, action! audio-driven motion synthesis with diffusion models
Simon Alexanderson, Rajmund Nagy, Jonas Beskow, and Gustav Eje Henter · 2023
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Multidiffusion: Fusing diffusion paths for controlled image generation
Omer Bar-Tal, Lior Yariv, Yaron Lipman, and Tali Dekel · 2023
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Jianlin Su, Yu Lu, Shengfeng Pan, Ahmed Murtadha, Bo Wen, and Yunfeng Liu · 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.
Scene-aware generative network for human motion synthesis
Jingbo Wang, Sijie Yan, Bo Dai, and Dahua Lin · 2021
Cited alongside, same era.
Exploring versatile prior for human motion via motion frequency guidance
Jiachen Xu, Min Wang, Jingyu Gong, Wentao Liu, Chen Qian, Yuan Xie, and Lizhuang Ma · 2021
Cited alongside, same era.
Transpose: Real-time 3d human translation and pose estimation with six inertial sensors
Xinyu Yi, Yuxiao Zhou, and Feng Xu · 2021
Cited alongside, same era.
Teach: Temporal action composition for 3d humans
Nikos Athanasiou, Mathis Petrovich, Michael J Black, and Gül Varol · 2022
Cited alongside, same era.
Didn’t see that coming: a survey on non-verbal social human behavior forecasting
German Barquero, Johnny Núnez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, and Cristina Palmero · 2022
Cited alongside, same era.
Belfusion: Latent diffusion for behavior-driven human motion prediction
German Barquero, Sergio Escalera, and Cristina Palmero · 2023
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Bodiffusion: Diffusing sparse observations for full-body human motion synthesis
Angela Castillo, Maria Escobar, Guillaume Jeanneret, Albert Pumarola, Pablo Arbeláez, Ali Thabet, and Artsiom Sanakoyeu · 2023
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Diffusion models in vision: A survey
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, and Mubarak Shah · 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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Flashattention-2: Faster attention with better parallelism and work partitioning
Tri Dao · 2023
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Motiongpt: Human motion as a foreign language
Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang Yu, and Tao Chen · 2023
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The impact of positional encoding on length generalization in transformers
Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, and Siva Reddy · 2023
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Flame: Free-form language-based motion synthesis & editing
Jihoon Kim, Jiseob Kim, and Sungjoon Choi · 2023
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Nifty: Neural object interaction fields for guided human motion synthesis
Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, and Leonidas Guibas · 2023
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Multiact: Long-term 3d human motion generation from multiple action labels
Taeryung Lee, Gyeongsik Moon, and Kyoung Mu Lee · 2023
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Sequential texts driven cohesive motions synthesis with natural transitions
Shuai Li, Sisi Zhuang, Wenfeng Song, Xinyu Zhang, Hejia Chen, and Aimin Hao · 2023
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Example-based motion synthesis via generative motion matching
Weiyu Li, Xuelin Chen, Peizhuo Li, Olga Sorkine-Hornung, and Baoquan Chen · 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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Perpetual humanoid control for real-time simulated avatars
Zhengyi Luo, Jinkun Cao, Kris Kitani, Weipeng Xu, et al · 2023
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Validating objective evaluation metric: Is fréchet motion distance able to capture foot skating artifacts?
Antoine Maiorca, Youngwoo Yoon, and Thierry Dutoit · 2023
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Motion in-betweening via deep delta-interpolator
Boris N Oreshkin, Antonios Valkanas, Félix G Harvey, Louis-Simon Ménard, Florent Bocquelet, and Mark J Coates · 2023
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Breaking the limits of text-conditioned 3d motion synthesis with elaborative descriptions
Yijun Qian, Jack Urbanek, Alexander G Hauptmann, and Jungdam Won · 2023
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Diverse motion in-betweening with dual posture stitching
Tianxiang Ren, Jubo Yu, Shihui Guo, Ying Ma, Yutao Ouyang, Zijiao Zeng, Yazhan Zhang, and Yipeng Qin · 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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Motion in-betweening with phase manifolds
Paul Starke, Sebastian Starke, Taku Komura, and Frank Steinicke · 2023
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Towards globally consistent stochastic human motion prediction via motion diffusion
Jiarui Sun and Girish Chowdhary · 2023
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Social diffusion: Long-term multiple human motion anticipation
Julian Tanke, Linguang Zhang, Amy Zhao, Chengcheng Tang, Yujun Cai, Lezi Wang, Po-Chen Wu, Juergen Gall, and Cem Keskin · 2023
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Sibo Tian, Minghui Zheng, and Xiao Liang · 2023
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Edge: Editable dance generation from music
Jonathan Tseng, Rodrigo Castellon, and Karen Liu · 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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Synthesizing long-term human motions with diffusion models via coherent sampling
Zhao Yang, Bing Su, and Ji-Rong Wen · 2023
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Mime: Human-aware 3d scene generation
Hongwei Yi, Chun-Hao P Huang, Shashank Tripathi, Lea Hering, Justus Thies, and Michael J Black · 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 from textual descriptions with discrete representations
Jianrong Zhang, Yangsong Zhang, Xiaodong Cun, Yong Zhang, Hongwei Zhao, Hongtao Lu, Xi Shen, and Ying Shan · 2023
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Diffcollage: Parallel generation of large content with diffusion models
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, and Ming-Yu Liu · 2023
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Human motion generation: A survey
Wentao Zhu, Xiaoxuan Ma, Dongwoo Ro, Hai Ci, Jinlu Zhang, Jiaxin Shi, Feng Gao, Qi Tian, and Yizhou Wang · 2023
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