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Generating realistic 3D human-human interactions from textual descriptions remains a challenging task.
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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Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 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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Deep motifs and motion signatures
Andreas Aristidou, Daniel Cohen-Or, Jessica K Hodgins, Yiorgos Chrysanthou, and Ariel Shamir · 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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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 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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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021
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Translating math formula images to latex sequences using deep neural networks with sequence-level training
Zelun Wang and Jyh-Charn Liu · 2021
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Maskgit: Masked generative image transformer
Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, and William T Freeman · 2022
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Posegpt: Quantization-based 3d human motion generation and forecasting
Thomas Lucas, Fabien Baradel, Philippe Weinzaepfel, and Grégory Rogez · 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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Vector-quantized image modeling with improved VQGAN
Jiahui Yu, Xin Li, Jing Yu Koh, Han Zhang, Ruoming Pang, James Qin, Alexander Ku, Yuanzhong Xu, Jason Baldridge, and Yonghui Wu · 2022
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Executing your commands via motion diffusion in latent space
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, and Gang Yu · 2023
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Interaction transformer for human reaction generation
Baptiste Chopin, Hao Tang, Naima Otberdout, Mohamed Daoudi, and Nicu Sebe · 2023
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Tm2d: Bimodality driven 3d dance generation via music-text integration
Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Zihang Jiang, Xinxin Zuo, Michael Bi Mi, and Xinchao Wang · 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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Priority-centric human motion generation in discrete latent space
Digital life project: Autonomous 3d characters with social intelligence
Zhongang Cai, Jianping Jiang, Zhongfei Qing, Xinying Guo, Mingyuan Zhang, Zhengyu Lin, Haiyi Mei, Chen Wei, Ruisi Wang, Wanqi Yin, et al · 2024
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Freemotion: A unified framework for number-free text-to-motion synthesis
Ke Fan, Junshu Tang, Weijian Cao, Ran Yi, Moran Li, Jingyu Gong, Jiangning Zhang, Yabiao Wang, Chengjie Wang, and Lizhuang Ma · 2024
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Remos: 3d motion-conditioned reaction synthesis for two-person interactions
Anindita Ghosh, Rishabh Dabral, Vladislav Golyanik, Christian Theobalt, and Philipp Slusallek · 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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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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Hanyang Kong, Kehong Gong, Dongze Lian, Michael Bi Mi, and Xinchao Wang · 2023
Cited alongside, same era.
Yunze Liu, Changxi Chen, and Li Yi · 2023
Cited alongside, same era.
Diversemotion: Towards diverse human motion generation via discrete diffusion
Yunhong Lou, Linchao Zhu, Yaxiong Wang, Xiaohan Wang, and Yi Yang · 2023
Cited alongside, same era.
Scalable diffusion models with transformers
William Peebles and Saining Xie · 2023
Cited alongside, same era.
Role-aware interaction generation from textual description
Mikihiro Tanaka and Kent Fujiwara · 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
Cited alongside, same era.
Edge: Editable dance generation from music
Jonathan Tseng, Rodrigo Castellon, and Karen Liu · 2023
Cited alongside, same era.
Yunze Liu, Changxi Chen, Chenjing Ding, and Li Yi · 2024
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Mmm: Generative masked motion model
Ekkasit Pinyoanuntapong, Pu Wang, Minwoo Lee, and Chen Chen · 2024
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Insactor: Instruction-driven physics-based characters
Jiawei Ren, Mingyuan Zhang, Cunjun Yu, Xiao Ma, Liang Pan, and Ziwei Liu · 2024
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in2in: Leveraging individual information to generate human interactions
Pablo Ruiz-Ponce, German Barquero, Cristina Palmero, Sergio Escalera, and José García-Rodríguez · 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 Nwogo, Guo-Jun Qi, and Mitch Hill · 2024
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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 · 2024
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