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Human interactions in everyday life are inherently social, involving engagements with diverse individuals across various contexts.
Transformer-xl: Attentive language models beyond a fixed-length context. arxiv 2019
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
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Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks
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Language models are few-shot learners
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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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You2me: Inferring body pose in egocentric video via first and second person interactions
Evonne Ng, Donglai Xiang, Hanbyul Joo, and Kristen Grauman · 2020
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Dlow: Diversifying latent flows for diverse human motion prediction
Ye Yuan and Kris Kitani · 2020
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4d association graph for realtime multi-person motion capture using multiple video cameras
Yuxiang Zhang, Liang An, Tao Yu, Xiu Li, Kun Li, and Yebin Liu · 2020
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Synthesis of compositional animations from textual descriptions
Anindita Ghosh, Noshaba Cheema, Cennet Oguz, Christian Theobalt, and Philipp Slusallek · 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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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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Laion-400m: Open dataset of clip-filtered 400 million image-text pairs
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Hu Xu, Gargi Ghosh, Po-Yao Huang, Dmytro Okhonko, Armen Aghajanyan, Florian Metze, Luke Zettlemoyer, and Christoph Feichtenhofer · 2021
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Yan Zhang, Michael J Black, and Siyu Tang · 2021
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Audioclip: Extending clip to image, text and audio
Andrey Guzhov, Federico Raue, Jörn Hees, and Andreas Dengel · 2022
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Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation
Junnan Li, Dongxu Li, Caiming Xiong, and Steven Hoi · 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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Fg-t2m: Fine-grained text-driven human motion generation via diffusion model
Yin Wang, Zhiying Leng, Frederick WB Li, Shun-Cheng Wu, and Xiaohui Liang · 2023
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Omnicontrol: Control any joint at any time for human motion generation
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Zixiang Zhou and Baoyuan Wang · 2023
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Evonne Ng, Hanbyul Joo, Liwen Hu, Hao Li, Trevor Darrell, Angjoo Kanazawa, and Shiry Ginosar · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
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Temos: Generating diverse human motions from textual descriptions
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Digital life project: Autonomous 3d characters with social intelligence
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The language of motion: Unifying verbal and non-verbal language of 3d human motion
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Gpt-4o-mini: Advancing cost-efficient intelligence, 2024
OpenAI · 2024
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