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The focus of this paper is on 3D motion editing.
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Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image. In
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A Deep Learning Framework for Character Motion Synthesis and Editing
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The KIT Motion-Language Dataset
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AMASS: Archive of Motion Capture As Surface Shapes. In
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Unpaired motion style transfer from video to animation
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Action2Motion: Conditioned Generation of 3D Human Motions. In
Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, and Sun. 2020 · 2020
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Denoising Diffusion Probabilistic Models. In
Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020 · 2020
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. In
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Mihai Fieraru, Mihai Zanfir, Silviu Cristian Pirlea, Vlad Olaru, and Cristian Sminchisescu. 2021 · 2021
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FixMyPose: Pose Correctional Captioning and Retrieval
Hyounghun Kim, Abhay Zala, Graham Burri, and Mohit Bansal. 2021 · 2021
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Action-conditioned 3D human motion synthesis with Transformer VAE. In
Mathis Petrovich, Michael J Black, and Gül Varol. 2021 · 2021
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Guided Motion Diffusion for Controllable Human Motion Synthesis. In
Korrawe Karunratanakul, Konpat Preechakul, Supasorn Suwajanakorn, and Siyu Tang. 2023 · 2023
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FLAME: Free-form language-based motion synthesis & editing. In
Jihoon Kim, Jiseob Kim, and Sungjoon Choi. 2023 · 2023
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Motion capture dataset for practical use of AI-based motion editing and stylization
Makito Kobayashi, Chen-Chieh Liao, Keito Inoue, Sentaro Yojima, and Masafumi Takahashi. 2023 · 2023
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Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset. In
Jing Lin, Ailing Zeng, Shunlin Lu, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, and Lei Zhang. 2023 · 2023
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TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis. In
Mathis Petrovich, Michael J. Black, and Gül Varol. 2023 · 2023
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Abhinanda R. Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou, Alejandra Quiros-Ramirez, and Michael J. Black. 2021 · 2021
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Learning transferable visual models from natural language supervision. In
Alec Radford, Jong Wook Kim, Chris Hallacy, and Ramesh. 2021 · 2021
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TEACH: Temporal Action Composition for 3D Humans. In
Nikos Athanasiou, Mathis Petrovich, Michael J Black, and Gül Varol. 2022 · 2022
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PoseScript: 3D Human Poses from Natural Language. In
Ginger Delmas, Philippe Weinzaepfel, Thomas Lucas, Francesc Moreno-Noguer, and Grégory Rogez. 2022 · 2022
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MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels. In
Taeryung Lee, Gyeongsik Moon, and Kyoung Mu Lee. 2022 · 2022
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Real-time style modelling of human locomotion via feature-wise transformations and local motion phases
Ian Mason, Sebastian Starke, and Taku Komura. 2022 · 2022
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TEMOS: Generating diverse human motions from textual descriptions. In
Mathis Petrovich, Michael J Black, and Gül Varol. 2022 · 2022
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Human Motion Diffusion Model. In
Guy Tevet, Sigal Raab, Brian Gordon, and Shafir. 2023 · 2023
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DiffusionPhase: Motion Diffusion in Frequency Domain
Weilin Wan, Yiming Huang, Shutong Wu, Taku Komura, Wenping Wang, Dinesh Jayaraman, and Lingjie Liu. 2023 · 2023
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MotionDiffuse: Text-driven human motion generation with diffusion model
Mingyuan Zhang, Zhongang Cai, Liang Pan, and Hong. 2023a · 2023
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Flexible Motion In-betweening with Diffusion Models. In
Setareh Cohan, Guy Tevet, Daniele Reda, Xue Bin Peng, and Michiel van de Panne. 2024 · 2024
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Iterative Motion Editing with Natural Language. In
Purvi Goel, Kuan-Chieh Wang, C Karen Liu, and Kayvon Fatahalian. 2024 · 2024
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MoMask: Generative Masked Modeling of 3D Human Motions. In
Chuan Guo, Yuxuan Mu, Muhammad Gohar Javed, Sen Wang, and Li Cheng. 2024 · 2024
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CoMo: Controllable Motion Generation through Language Guided Pose Code Editing
Yiming Huang, Weilin Wan, Yue Yang, Chris Callison-Burch, Mark Yatskar, and Lingjie Liu. 2024 · 2024
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Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation. In
Mathis Petrovich, Or Litany, Umar Iqbal, Michael J. Black, Gül Varol, Xue Bin Peng, and Davis Rempe. 2024 · 2024
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Human Motion Diffusion as a Generative Prior. In
Yonatan Shafir, Guy Tevet, Roy Kapon, and Bermano. 2024 · 2024
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MoLA: Motion Generation and Editing with Latent Diffusion Enhanced by Adversarial Training
Kengo Uchida, Takashi Shibuya, Yuhta Takida, Naoki Murata, Shusuke Takahashi, and Yuki Mitsufuji. 2024 · 2024
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OmniControl: Control Any Joint at Any Time for Human Motion Generation. In
Yiming Xie, Varun Jampani, Lei Zhong, Deqing Sun, and Huaizu Jiang. 2024 · 2024
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ParCo: Part-Coordinating Text-to-Motion Synthesis
Qiran Zou, Shangyuan Yuan, Shian Du, Yu Wang, Chang Liu, Yi Xu, Jie Chen, and Xiangyang Ji. 2024 · 2024
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