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Conditional motion generation has been extensively studied in computer vision, yet two critical challenges remain.
Least squares quantization in pcm
Stuart Lloyd · 1982
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Musical genre classification of audio signals
George Tzanetakis and Perry Cook · 2002
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Automatic rigging and animation of 3d characters
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Automatic music genre classification based on modulation spectral analysis of spectral and cepstral features
Chang-Hsing Lee, Jau-Ling Shih, Kun-Ming Yu, and Hwai-San Lin · 2009
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Gaussian mixture models
Douglas A Reynolds et al · 2009
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A fully automatic rigging algorithm for 3d character animation
Natapon Pantuwong and Masanori Sugimoto · 2011
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Rigmesh: automatic rigging for part-based shape modeling and deformation
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Smooth skinning decomposition with rigid bones
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Avatar reshaping and automatic rigging using a deformable model
Andrew Feng, Dan Casas, and Ari Shapiro · 2015
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The kit motion-language dataset
Matthias Plappert, Christian Mandery, and Tamim Asfour · 2016
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Attention is all you need
A Vaswani · 2017
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Fairmotion-tools to load, process and visualize motion capture data, 2020
Deepak Gopinath and Jungdam Won · 2020
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Learning to generate diverse dance motions with transformer
Jiaman Li, Yihang Yin, Hang Chu, Yi Zhou, Tingwu Wang, Sanja Fidler, and Hao Li · 2020
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Dance revolution: Long-term dance generation with music via curriculum learning
Ruozi Huang, Huang Hu, Wei Wu, Kei Sawada, Mi Zhang, and Daxin Jiang · 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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Temos: Generating diverse human motions from textual descriptions
Mathis Petrovich, Michael J Black, and Gül Varol · 2022
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Bailando: 3d dance generation by actor-critic gpt with choreographic memory
Li Siyao, Weijiang Yu, Tianpei Gu, Chunze Lin, Quan Wang, Chen Qian, Chen Change Loy, and Ziwei Liu · 2022
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Human motion diffusion model
Guy Tevet, Sigal Raab, Brian Gordon, Yoni Shafir, Daniel Cohen-or, and Amit Haim Bermano · 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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Stable video diffusion: Scaling latent video diffusion models to large datasets
Andreas Blattmann, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi, Zion English, Vikram Voleti, Adam Letts, et al · 2023
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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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Mofusion: A framework for denoising-diffusion-based motion synthesis
Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, and Christian Theobalt · 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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Priority-centric human motion generation in discrete latent space
Hanyang Kong, Kehong Gong, Dongze Lian, Michael Bi Mi, and Xinchao Wang · 2023
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Motionlcm: Real-time controllable motion generation via latent consistency model
Wenxun Dai, Ling-Hao Chen, Jingbo Wang, Jinpeng Liu, Bo Dai, and Yansong Tang · 2024
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Zach Evans, Julian D Parker, CJ Carr, Zack Zukowski, Josiah Taylor, and Jordi Pons · 2024
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Guess: Gradually enriching synthesis for text-driven human motion generation
Xuehao Gao, Yang Yang, Zhenyu Xie, Shaoyi Du, Zhongqian Sun, and Yang Wu · 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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Bad: Bidirectional auto-regressive diffusion for text-to-motion generation
S Rohollah Hosseyni, Ali Ahmad Rahmani, S Jamal Seyedmohammadi, Sanaz Seyedin, and Arash Mohammadi · 2024
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Diversemotion: Towards diverse human motion generation via discrete diffusion
Yunhong Lou, Linchao Zhu, Yaxiong Wang, Xiaohan Wang, and Yi Yang · 2023
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Dreamgaussian4d: Generative 4d gaussian splatting
Jiawei Ren, Liang Pan, Jiaxiang Tang, Chi Zhang, Ang Cao, Gang Zeng, and Ziwei Liu · 2023
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Mvdream: Multi-view diffusion for 3d generation
Yichun Shi, Peng Wang, Jianglong Ye, Mai Long, Kejie Li, and Xiao Yang · 2023
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Bailando++: 3d dance gpt with choreographic memory
Li Siyao, Weijiang Yu, Tianpei Gu, Chunze Lin, Quan Wang, Chen Qian, Chen Change Loy, and Ziwei Liu · 2023
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Edge: Editable dance generation from music
Jonathan Tseng, Rodrigo Castellon, and Karen Liu · 2023
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4dgen: Grounded 4d content generation with spatial-temporal consistency
Yuyang Yin, Dejia Xu, Zhangyang Wang, Yao Zhao, and Yunchao Wei · 2023
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Animate124: Animating one image to 4d dynamic scene
Yuyang Zhao, Zhiwen Yan, Enze Xie, Lanqing Hong, Zhenguo Li, and Gim Hee Lee · 2023
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Gaussianavatar: Towards realistic human avatar modeling from a single video via animatable 3d gaussians
Liangxiao Hu, Hongwen Zhang, Yuxiang Zhang, Boyao Zhou, Boning Liu, Shengping Zhang, and Liqiang Nie · 2024
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Act as you wish: Fine-grained control of motion diffusion model with hierarchical semantic graphs
Peng Jin, Yang Wu, Yanbo Fan, Zhongqian Sun, Wei Yang, and Li Yuan · 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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Mcm: Multi-condition motion synthesis framework
Zeyu Ling, Bo Han, Yongkang Wongkan, Han Lin, Mohan Kankanhalli, and Weidong Geng · 2024
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L4gm: Large 4d gaussian reconstruction model
Jiawei Ren, Kevin Xie, Ashkan Mirzaei, Hanxue Liang, Xiaohui Zeng, Karsten Kreis, Ziwei Liu, Antonio Torralba, Sanja Fidler, Seung Wook Kim, et al · 2024
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Motionllm: Multimodal motion-language learning with large language models
Qi Wu, Yubo Zhao, Yifan Wang, Yu-Wing Tai, and Chi-Keung Tang · 2024
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Mogents: Motion generation based on spatial-temporal joint modeling
Weihao Yuan, Weichao Shen, Yisheng He, Yuan Dong, Xiaodong Gu, Zilong Dong, Liefeng Bo, and Qixing Huang · 2024
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A unified approach for text-and image-guided 4d scene generation
Yufeng Zheng, Xueting Li, Koki Nagano, Sifei Liu, Otmar Hilliges, and Shalini De Mello · 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
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Tc4d: Trajectory-conditioned text-to-4d generation
Sherwin Bahmani, Xian Liu, Wang Yifan, Ivan Skorokhodov, Victor Rong, Ziwei Liu, Xihui Liu, Jeong Joon Park, Sergey Tulyakov, Gordon Wetzstein, et al · 2025
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Sc4d: Sparse-controlled video-to-4d generation and motion transfer
Zijie Wu, Chaohui Yu, Yanqin Jiang, Chenjie Cao, Fan Wang, and Xiang Bai · 2025
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Stag4d: Spatial-temporal anchored generative 4d gaussians
Yifei Zeng, Yanqin Jiang, Siyu Zhu, Yuanxun Lu, Youtian Lin, Hao Zhu, Weiming Hu, Xun Cao, and Yao Yao · 2025
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Motion mamba: Efficient and long sequence motion generation
Zeyu Zhang, Akide Liu, Ian Reid, Richard Hartley, Bohan Zhuang, and Hao Tang · 2025
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