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Generating motion sequences conforming to a target style while adhering to the given content prompts requires accommodating both the content and style.
Auto-encoding variational bayes, 2013
Diederik P Kingma, Max Welling, et al · 2013
Earlier work this paper cites.
Realtime style transfer for unlabeled heterogeneous human motion
Shihong Xia, Congyi Wang, Jinxiang Chai, and Jessica Hodgins · 2015
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Image style transfer using convolutional neural networks
Leon A Gatys, Alexander S Ecker, and Matthias Bethge · 2016
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The KIT motion-language dataset
Matthias Plappert, Christian Mandery, and Tamim Asfour · 2016
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Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
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Decoupled weight decay regularization
I Loshchilov · 2017
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Perceptual characteristics by motion style category
Hye Ji Kim and Sung-Hee Lee · 2019
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Unpaired motion style transfer from video to animation
Kfir Aberman, Yijia Weng, Dani Lischinski, Daniel Cohen-Or, and Baoquan Chen · 2020
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Momentum contrast for unsupervised visual representation learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick · 2020
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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Hierarchical style-based networks for motion synthesis
Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, and Trevor Darrell · 2020
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
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Diverse motion stylization for multiple style domains via spatial-temporal graph-based generative model
Soomin Park, Deok-Kyeong Jang, and Sung-Hee Lee · 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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Autoregressive stylized motion synthesis with generative flow
Yu-Hui Wen, Zhipeng Yang, Hongbo Fu, Lin Gao, Yanan Sun, and Yong-Jin Liu · 2021
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Generating diverse and natural 3d human motions from text
Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, and Li Cheng · 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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Real-time style modelling of human locomotion via feature-wise transformations and local motion phases
Ian Mason, Sebastian Starke, and Taku Komura · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Style-erd: Responsive and coherent online motion style transfer
Tianxin Tao, Xiaohang Zhan, Zhongquan Chen, and Michiel van de Panne · 2022
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Gesturediffuclip: Gesture diffusion model with clip latents
Lead: Latent realignment for human motion diffusion
Nefeli Andreou, Xi Wang, Victoria Fernández Abrevaya, Marie-Paule Cani, Yiorgos Chrysanthou, and Vicky Kalogeiton · 2024
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Generating human motion in 3d scenes from text descriptions
Zhi Cen, Huaijin Pi, Sida Peng, Zehong Shen, Minghui Yang, Shuai Zhu, Hujun Bao, and Xiaowei Zhou · 2024
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Motionclr: Motion generation and training-free editing via understanding attention mechanisms
Ling-Hao Chen, Wenxun Dai, Xuan Ju, Shunlin Lu, and Lei Zhang · 2024
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Diffh2o: Diffusion-based synthesis of hand-object interactions from textual descriptions
Sammy Christen, Shreyas Hampali, Fadime Sener, Edoardo Remelli, Tomas Hodan, Eric Sauser, Shugao Ma, and Bugra Tekin · 2024
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Motionlcm: Real-time controllable motion generation via latent consistency model
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Tenglong Ao, Zeyi Zhang, and Libin Liu · 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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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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Gmd: Controllable human motion synthesis via guided diffusion models
Korrawe Karunratanakul, Konpat Preechakul, Supasorn Suwajanakorn, and Siyu Tang · 2023
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Hoi-diff: Text-driven synthesis of 3d human-object interactions using diffusion models
Xiaogang Peng, Yiming Xie, Zizhao Wu, Varun Jampani, Deqing Sun, and Huaizu Jiang · 2023
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Sigal Raab, Inbal Leibovitch, Guy Tevet, Moab Arar, Amit H Bermano, and Daniel Cohen-Or · 2023
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Rsmt: Real-time stylized motion transition for characters
Xiangjun Tang, Linjun Wu, He Wang, Bo Hu, Xu Gong, Yuchen Liao, Songnan Li, Qilong Kou, and Xiaogang Jin · 2023
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Wenxun Dai, Ling-Hao Chen, Jingbo Wang, Jinpeng Liu, Bo Dai, and Yansong Tang · 2024
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Customizing text-to-image models with a single image pair
Maxwell Jones, Sheng-Yu Wang, Nupur Kumari, David Bau, and Jun-Yan Zhu · 2024
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Most: Motion style transformer between diverse action contents
Boeun Kim, Jungho Kim, Hyung Jin Chang, and Jin Young Choi · 2024
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Lamp: Language-motion pretraining for motion generation, retrieval, and captioning
Zhe Li, Weihao Yuan, Yisheng He, Lingteng Qiu, Shenhao Zhu, Xiaodong Gu, Weichao Shen, Yuan Dong, Zilong Dong, and Laurence T Yang · 2024
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Smcd: High realism motion style transfer via mamba-based diffusion
Ziyun Qian, Zeyu Xiao, Zhenyi Wu, Dingkang Yang, Mingcheng Li, Shunli Wang, Shuaibing Wang, Dongliang Kou, and Lihua Zhang · 2024
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Arbitrary motion style transfer with multi-condition motion latent diffusion model
Wenfeng Song, Xingliang Jin, Shuai Li, Chenglizhao Chen, Aimin Hao, Xia Hou, Ning Li, and Hong Qin · 2024
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Styleadapter: A unified stylized image generation model
Zhouxia Wang, Xintao Wang, Liangbin Xie, Zhongang Qi, Ying Shan, Wenping Wang, and Ping Luo · 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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Smoodi: Stylized motion diffusion model
Lei Zhong, Yiming Xie, Varun Jampani, Deqing Sun, and Huaizu Jiang · 2024
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Ziplora: Any subject in any style by effectively merging loras
Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, and Varun Jampani · 2025
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Generating human interaction motions in scenes with text control
Hongwei Yi, Justus Thies, Michael J Black, Xue Bin Peng, and Davis Rempe · 2025
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