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Human-motion video generation has been a challenging task, primarily due to the difficulty inherent in learning human body movements.
Haa500: Human-centric atomic action dataset with curated videos
Jihoon Chung, Cheng hsin Wuu, Hsuan ru Yang, Yu-Wing Tai, and Chi-Keung Tang · 2011
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HMDB: a large video database for human motion recognition
H. Kuehne, H. Jhuang, E. Garrote, T. Poggio, and T. Serre · 2011
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Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu · 2013
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Auto-encoding variational bayes
Diederik P Kingma · 2013
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Activitynet: A large-scale video benchmark for human activity understanding
Bernard Ghanem Fabian Caba Heilbron, Victor Escorcia and Juan Carlos Niebles · 2015
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Blur image detection using laplacian operator and open-cv
Raghav Bansal, Gaurav Raj, and Tanupriya Choudhury · 2016
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The kit motion-language dataset
Matthias Plappert, Christian Mandery, and Tamim Asfour · 2016
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Ntu rgb+ d: A large scale dataset for 3d human activity analysis
Amir Shahroudy, Jun Liu, Tian-Tsong Ng, and Gang Wang · 2016
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Hollywood in homes: Crowdsourcing data collection for activity understanding, 2016
Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, and Abhinav Gupta · 2016
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The” something something” video database for learning and evaluating visual common sense
Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski, Joanna Materzynska, Susanne Westphal, Heuna Kim, Valentin Haenel, Ingo Fruend, Peter Yianilos, Moritz Mueller-Freitag, et al · 2017
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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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The kinetics human action video dataset, 2017
Will Kay, Joao Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, Mustafa Suleyman, and Andrew Zisserman · 2017
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Charades-ego: A large-scale dataset of paired third and first person videos
Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, and Karteek Alahari · 2018
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Spatial temporal graph convolutional networks for skeleton-based action recognition
Sijie Yan, Yuanjun Xiong, and Dahua Lin · 2018
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Character region awareness for text detection
Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, and Hwalsuk Lee · 2019
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Context-aware emotion recognition networks
Jiyoung Lee, Seungryong Kim, Sunok Kim, Jungin Park, and Kwanghoonn Sohn · 2019
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Ntu rgb+ d 120: A large-scale benchmark for 3d human activity understanding
Jun Liu, Amir Shahroudy, Mauricio Perez, Gang Wang, Ling-Yu Duan, and Alex C Kot · 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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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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Dfew: A large-scale database for recognizing dynamic facial expressions in the wild
Xingxun Jiang, Yuan Zong, Wenming Zheng, Chuangao Tang, Wanchuang Xia, Cheng Lu, and Jiateng Liu · 2020
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Transnet v2: An effective deep network architecture for fast shot transition detection
Tomáš Souček and Jakub Lokoč · 2020
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Channel-wise topology refinement graph convolution for skeleton-based action recognition
Yuxin Chen, Ziqi Zhang, Chunfeng Yuan, Bing Li, Ying Deng, and Weiming Hu · 2021
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Learning transferable visual models from natural language supervision, 2021
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
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A short note on the kinetics-700 human action dataset, 2022
Joao Carreira, Eric Noland, Chloe Hillier, and Andrew Zisserman · 2022
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Generating diverse and natural 3d human motions from text
Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, and Li Cheng · 2022
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TMR: Text-to-motion retrieval using contrastive 3D human motion synthesis
Mathis Petrovich, Michael J. Black, and Gül Varol · 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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Effective whole-body pose estimation with two-stages distillation
Zhendong Yang, Ailing Zeng, Chun Yuan, and Yu Li · 2023
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Make pixels dance: High-dynamic video generation
Yan Zeng, Guoqiang Wei, Jiani Zheng, Jiaxin Zou, Yang Wei, Yuchen Zhang, and Hang Li · 2023
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Diffugesture: Generating human gesture from two-person dialogue with diffusion models
Weiyu Zhao, Liangxiao Hu, and Shengping Zhang · 2023
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Louay Hazami, Rayhane Mama, and Ragavan Thurairatnam · 2022
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Cogvideo: Large-scale pretraining for text-to-video generation via transformers
Wenyi Hong, Ming Ding, Wendi Zheng, Xinghan Liu, and Jie Tang · 2022
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Laion aesthetics predictor v1
Beaumont Romain and Schuhmann Christoph · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Motionclip: Exposing human motion generation to clip space
Guy Tevet, Brian Gordon, Amir Hertz, Amit H Bermano, and Daniel Cohen-Or · 2022
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Gmflow: Learning optical flow via global matching
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, and Dacheng Tao · 2022
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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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Fuyu Zhu, Hua Wang, and Yixuan Zhang · 2023
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Sora as an agi world model? a complete survey on text-to-video generation
Joseph Cho, Fachrina Dewi Puspitasari, Sheng Zheng, Jingyao Zheng, Lik-Hang Lee, Tae-Ho Kim, Choong Seon Hong, and Chaoning Zhang · 2024
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World models for autonomous driving: An initial survey
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Animate anyone: Consistent and controllable image-to-video synthesis for character animation
Li Hu · 2024
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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 · 2024
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Sora: A review on background, technology, limitations, and opportunities of large vision models
Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, et al · 2024
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Recondreamer: Crafting world models for driving scene reconstruction via online restoration
Chaojun Ni, Guosheng Zhao, Xiaofeng Wang, Zheng Zhu, Wenkang Qin, Guan Huang, Chen Liu, Yuyin Chen, Yida Wang, Xueyang Zhang, Yifei Zhan, Kun Zhan, Peng Jia, Xianpeng Lang, Xingang Wang, and Wenjun Mei · 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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From sora what we can see: A survey of text-to-video generation
Rui Sun, Yumin Zhang, Tejal Shah, Jiahao Sun, Shuoying Zhang, Wenqi Li, Haoran Duan, Bo Wei, and Rajiv Ranjan · 2024
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Animate-x: Universal character image animation with enhanced motion representation
Shuai Tan, Biao Gong, Xiang Wang, Shiwei Zhang, Dandan Zheng, Ruobing Zheng, Kecheng Zheng, Jingdong Chen, and Ming Yang · 2024
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Musepose: a pose-driven image-to-video framework for virtual human generation
Zhengyan Tong, Chao Li, Zhaokang Chen, Bin Wu, and Wenjiang Zhou · 2024
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Cogvideox: Text-to-video diffusion models with an expert transformer
Zhuoyi Yang, Jiayan Teng, Wendi Zheng, Ming Ding, Shiyu Huang, Jiazheng Xu, Yuanming Yang, Wenyi Hong, Xiaohan Zhang, Guanyu Feng, et al · 2024
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Representation alignment for generation: Training diffusion transformers is easier than you think, 2024
Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, and Saining Xie · 2024
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Mimicmotion: High-quality human motion video generation with confidence-aware pose guidance
Yuang Zhang, Jiaxi Gu, Li-Wen Wang, Han Wang, Junqi Cheng, Yuefeng Zhu, and Fangyuan Zou · 2024
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