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Controllable character animation remains a challenging problem, particularly in handling rare poses, stylized characters, character-object interactions, complex illumination, and dynamic scenes.
Generative adversarial nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, and Yoshua Bengio · 2014
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Large scale GAN training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
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Expressive body capture: 3d hands, face, and body from a single image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, and Michael J. Black · 2019
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First order motion model for image animation
Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, and Nicu Sebe · 2019
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Dwnet: Dense warp-based network for pose-guided human video generation
Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, and Leonid Sigal · 2019
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Learning high fidelity depths of dressed humans by watching social media dance videos
Yasamin Jafarian and Hyun Soo Park · 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, Gretchen Krueger, and Ilya Sutskever · 2021
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Motion representations for articulated animation
Aliaksandr Siarohin, Oliver J. Woodford, Jian Ren, Menglei Chai, and Sergey Tulyakov · 2021
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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2022
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Efficient diffusion training via min-snr weighting strategy
Tiankai Hang, Shuyang Gu, Chen Li, Jianmin Bao, Dong Chen, Han Hu, Xin Geng, and Baining Guo · 2023
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Effective whole-body pose estimation with two-stages distillation
Zhendong Yang, Ailing Zeng, Chun Yuan, and Yu Li · 2023
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Adding conditional control to text-to-image diffusion models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
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https://github.com/MooreThreads/Moore-AnimateAnyone
Moore-animateanyone · 2024
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https://viggleai.io/
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Scaling rectified flow transformers for high-resolution image synthesis
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Animate anyone: Consistent and controllable image-to-video synthesis for character animation
Li Hu, Xin Gao, Peng Zhang, Ke Sun, Bang Zhang, and Liefeng Bo · 2024
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VBench++: Comprehensive and versatile benchmark suite for video generative models
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A closer look at time steps is worthy of triple speed-up for diffusion model training
Kai Wang, Yukun Zhou, Mingjia Shi, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Hanwang Zhang, and Yang You · 2024
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Disco: Disentangled control for realistic human dance generation
Tan Wang, Linjie Li, Kevin Lin, Yuanhao Zhai, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, and Lijuan Wang · 2024
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Humanvid: Demystifying training data for camera-controllable human image animation
Zhenzhi Wang, Yixuan Li, Yanhong Zeng, Youqing Fang, Yuwei Guo, Wenran Liu, Jing Tan, Kai Chen, Tianfan Xue, Bo Dai, and Dahua Lin · 2024
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Magicanimate: Temporally consistent human image animation using diffusion model
Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, and Mike Zheng Shou · 2024
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Mimicmotion: High-quality human motion video generation with confidence-aware pose guidance
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Immiscible diffusion: Accelerating diffusion training with noise assignment
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Reconstructing hands in 3d with transformers
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Controlnext: Powerful and efficient control for image and video generation
Bohao Peng, Jian Wang, Yuechen Zhang, Wenbo Li, Ming-Chang Yang, and Jiaya Jia · 2024
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World-grounded human motion recovery via gravity-view coordinates
Zehong Shen, Huaijin Pi, Yan Xia, Zhi Cen, Sida Peng, Zechen Hu, Hujun Bao, Ruizhen Hu, and Xiaowei Zhou · 2024
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Roformer: Enhanced transformer with rotary position embedding
Jianlin Su, Murtadha H. M. Ahmed, Yu Lu, Shengfeng Pan, Wen Bo, and Yunfeng Liu · 2024
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Animate-x: Universal character image animation with enhanced motion representation
Shuai Tan, Biao Gong, Xiang Wang, Shiwei Zhang, Dandan Zheng, Ruobing Zheng, Kecheng Zheng, Jingdong Chen, and Ming Yang · 2024
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Musepose: a pose-driven image-to-video framework for virtual human generation
Zhengyan Tong, Chao Li, Zhaokang Chen, Bin Wu, and Wenjiang Zhou · 2024
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Yuang Zhang, Jiaxi Gu, Li-Wen Wang, Han Wang, Junqi Cheng, Yuefeng Zhu, and Fangyuan Zou · 2024
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Realisdance: Equip controllable character animation with realistic hands
Jingkai Zhou, Benzhi Wang, Weihua Chen, Jingqi Bai, Dongyang Li, Aixi Zhang, Hao Xu, Mingyang Yang, and Fan Wang · 2024
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Champ: Controllable and consistent human image animation with 3d parametric guidance
Shenhao Zhu, Junming Leo Chen, Zuozhuo Dai, Zilong Dong, Yinghui Xu, Xun Cao, Yao Yao, Hao Zhu, and Siyu Zhu · 2024
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Humandit: Pose-guided diffusion transformer for long-form human motion video generation
Qijun Gan, Yi Ren, Chen Zhang, Zhenhui Ye, Pan Xie, Xiang Yin, Zehuan Yuan, Bingyue Peng, and Jianke Zhu · 2025
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Animate anyone 2: High-fidelity character image animation with environment affordance
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Vace: All-in-one video creation and editing
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Omnihuman-1: Rethinking the scaling-up of one-stage conditioned human animation models
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Wan: Open and advanced large-scale video generative models
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