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This research delves into the problem of interactive editing of human motion generation.
Momask: Generative masked modeling of 3d human motions
Chuan Guo, Yuxuan Mu, Muhammad Gohar Javed, Sen Wang, and Li Cheng · 1910
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A hierarchical approach to interactive motion editing for human-like figures
Jehee Lee and Sung Yong Shin · 1999
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Motion texture: a two-level statistical model for character motion synthesis
Yan Li, Tianshu Wang, and Heung-Yeung Shum · 2002
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Sampling-based contact-rich motion control
Libin Liu, KangKang Yin, Michiel Van de Panne, Tianjia Shao, and Weiwei Xu · 2010
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Scikit-learn: Machine learning in python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, et al · 2011
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio · 2015
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A deep learning framework for character motion synthesis and editing
Daniel Holden, Jun Saito, and Taku Komura · 2016
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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
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Text2action: Generative adversarial synthesis from language to action
Hyemin Ahn, Timothy Ha, Yunho Choi, Hwiyeon Yoo, and Songhwai Oh · 2018
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Human motion modeling using dvgans
Xiao Lin and Mohamed R Amer · 2018
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Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks
Matthias Plappert, Christian Mandery, and Tamim Asfour · 2018
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Gradio: Hassle-free sharing and testing of ml models in the wild
Abubakar Abid, Ali Abdalla, Ali Abid, Dawood Khan, Abdulrahman Alfozan, and James Zou · 2019
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Language2pose: Natural language grounded pose forecasting
Chaitanya Ahuja and Louis-Philippe Morency · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Robust motion in-betweening
Félix G Harvey, Mike Yurick, Derek Nowrouzezahrai, and Christopher Pal · 2020
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Perpetual motion: Generating unbounded human motion
Yan Zhang, Michael J Black, and Siyu Tang · 2020
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Text2gestures: A transformer-based network for generating emotive body gestures for virtual agents
Uttaran Bhattacharya, Nicholas Rewkowski, Abhishek Banerjee, Pooja Guhan, Aniket Bera, and Dinesh Manocha · 2021
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Transformer feed-forward layers are key-value memories
Mor Geva, Roei Schuster, Jonathan Berant, and Omer Levy · 2021
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Self-attention attribution: Interpreting information interactions inside transformer
Yaru Hao, Li Dong, Furu Wei, and Ke Xu · 2021
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021
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Teach: Temporal action composition for 3d humans
Nikos Athanasiou, Mathis Petrovich, Michael J Black, and Gül Varol · 2022
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Knowledge neurons in pretrained transformers
Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Baobao Chang, and Furu Wei · 2022
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Avatarclip: Zero-shot text-driven generation and animation of 3d avatars
Fangzhou Hong, Mingyuan Zhang, Liang Pan, Zhongang Cai, Lei Yang, and Ziwei Liu · 2022
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Motion puzzle: Arbitrary motion style transfer by body part
Deok-Kyeong Jang, Soomin Park, and Sung-Hee Lee · 2022
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Full-body articulated human-object interaction
Nan Jiang, Tengyu Liu, Zhexuan Cao, Jieming Cui, Yixin Chen, He Wang, Yixin Zhu, and Siyuan Huang · 2022
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Ganimator: Neural motion synthesis from a single sequence
Peizhuo Li, Kfir Aberman, Zihan Zhang, Rana Hanocka, and Olga Sorkine-Hornung · 2022
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Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, and Jun Zhu · 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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Real-time controllable motion transition for characters
Xiangjun Tang, He Wang, Bo Hu, Xu Gong, Ruifan Yi, Qilong Kou, and Xiaogang Jin · 2022
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Humanise: Language-conditioned human motion generation in 3d scenes
Zan Wang, Yixin Chen, Tengyu Liu, Yixin Zhu, Wei Liang, and Siyuan Huang · 2022
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Controlvae: Model-based learning of generative controllers for physics-based characters
Heyuan Yao, Zhenhua Song, Baoquan Chen, and Libin Liu · 2022
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Egobody: Human body shape and motion of interacting people from head-mounted devices
Siwei Zhang, Qianli Ma, Yan Zhang, Zhiyin Qian, Taein Kwon, Marc Pollefeys, Federica Bogo, and Siyu Tang · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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Gesturediffuclip: Gesture diffusion model with clip latents
Tenglong Ao, Zeyi Zhang, and Libin Liu · 2023
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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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Flexible motion in-betweening with diffusion models
Setareh Cohan, Guy Tevet, Daniele Reda, Xue Bin Peng, and Michiel van de Panne · 2024
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Laserhuman: Language-guided scene-aware human motion generation in free environment
Peishan Cong, Ziyi WangZhiyang Dou, Yiming Ren, Wei Yin, Kai Cheng, Yujing Sun, Xiaoxiao Long, Xinge Zhu, and Yuexin Ma · 2024
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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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Cg-hoi: Contact-guided 3d human-object interaction generation
Christian Diller and Angela Dai · 2024
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Sinc: Spatial composition of 3d human motions for simultaneous action generation
Nikos Athanasiou, Mathis Petrovich, Michael J Black, and Gül Varol · 2023
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Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing
Mingdeng Cao, Xintao Wang, Zhongang Qi, Ying Shan, Xiaohu Qie, and Yinqiang Zheng · 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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Robust dancer: Long-term 3d dance synthesis using unpaired data
Bin Feng, Tenglong Ao, Zequn Liu, Wei Ju, Libin Liu, and Ming Zhang · 2023
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Remos: Reactive 3d motion synthesis for two-person interactions
Anindita Ghosh, Rishabh Dabral, Vladislav Golyanik, Christian Theobalt, and Philipp Slusallek · 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
Cited alongside, same era.
Wandr: Intention-guided human motion generation
Markos Diomataris, Nikos Athanasiou, Omid Taheri, Xi Wang, Otmar Hilliges, and Michael J Black · 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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Iterative motion editing with natural language
Purvi Goel, Kuan-Chieh Wang, C Karen Liu, and Kayvon Fatahalian · 2024
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Motiongpt: Human motion as a foreign language
Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang Yu, and Tao Chen · 2024
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Pnp inversion: Boosting diffusion-based editing with 3 lines of code
Xuan Ju, Ailing Zeng, Yuxuan Bian, Shaoteng Liu, and Qiang Xu · 2024
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Mas: Multi-view ancestral sampling for 3d motion generation using 2d diffusion
Roy Kapon, Guy Tevet, Daniel Cohen-Or, and Amit H Bermano · 2024
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Optimizing diffusion noise can serve as universal motion priors
Korrawe Karunratanakul, Konpat Preechakul, Emre Aksan, Thabo Beeler, Supasorn Suwajanakorn, and Siyu Tang · 2024
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Nifty: Neural object interaction fields for guided human motion synthesis
Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, and Leonidas Guibas · 2024
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Controllable human-object interaction synthesis
Jiaman Li, Alexander Clegg, Roozbeh Mottaghi, Jiajun Wu, Xavier Puig, and C Karen Liu · 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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Plan, posture and go: Towards open-world text-to-motion generation
Jinpeng Liu, Wenxun Dai, Chunyu Wang, Yiji Cheng, Yansong Tang, and Xin Tong · 2024
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Humantomato: Text-aligned whole-body motion generation
Shunlin Lu, Ling-Hao Chen, Ailing Zeng, Jing Lin, Ruimao Zhang, Lei Zhang, and Heung-Yeung Shum · 2024
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Dragondiffusion: Enabling drag-style manipulation on diffusion models
Chong Mou, Xintao Wang, Jiechong Song, Ying Shan, and Jian Zhang · 2024
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Multi-track timeline control for text-driven 3d human motion generation
Mathis Petrovich, Or Litany, Umar Iqbal, Michael J Black, Gul Varol, Xue Bin Peng, and Davis Rempe · 2024
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Mmm: Generative masked motion model
Ekkasit Pinyoanuntapong, Pu Wang, Minwoo Lee, and Chen Chen · 2024
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Human motion diffusion as a generative prior
Yonatan Shafir, Guy Tevet, Roy Kapon, and Amit H Bermano · 2024
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Maskedmimic: Unified physics-based character control through masked motion inpainting
Chen Tessler, Yunrong Guo, Ofir Nabati, Gal Chechik, and Xue Bin Peng · 2024
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Tlcontrol: Trajectory and language control for human motion synthesis
Weilin Wan, Zhiyang Dou, Taku Komura, Wenping Wang, Dinesh Jayaraman, and Lingjie Liu · 2024
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Move as you say interact as you can: Language-guided human motion generation with scene affordance
Zan Wang, Yixin Chen, Baoxiong Jia, Puhao Li, Jinlu Zhang, Jingze Zhang, Tengyu Liu, Yixin Zhu, Wei Liang, and Siyuan Huang · 2024
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Thor: Text to human-object interaction diffusion via relation intervention
Qianyang Wu, Ye Shi, Xiaoshui Huang, Jingyi Yu, Lan Xu, and Jingya Wang · 2024
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Omnicontrol: Control any joint at any time for human motion generation
Yiming Xie, Varun Jampani, Lei Zhong, Deqing Sun, and Huaizu Jiang · 2024
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Moconvq: Unified physics-based motion control via scalable discrete representations
Heyuan Yao, Zhenhua Song, Yuyang Zhou, Tenglong Ao, Baoquan Chen, and Libin Liu · 2024
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Smoodi: Stylized motion diffusion model
Lei Zhong, Yiming Xie, Varun Jampani, Deqing Sun, and Huaizu Jiang · 2024
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Emdm: Efficient motion diffusion model for fast, high-quality motion generation
Wenyang Zhou, Zhiyang Dou, Zeyu Cao, Zhouyingcheng Liao, Jingbo Wang, Wenjia Wang, Yuan Liu, Taku Komura, Wenping Wang, and Lingjie Liu · 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 · 2025
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