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I am a second-year Ph.D student in Department of Automation, Tsinghua University, under the supervision of Prof. Yebin Liu. Currently, I am a research intern in the ByteDance PICO, working on Digital Human Generation. Email: chengpeng002[AT]gmail[DOT]com |
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Cheng Peng*, Zhuo Su*, Liao Wang*, Chen Guo, Zhaohu Li, Chengjiang Long, Zheng Lv, Jingxiang Sun, Chenyangguang Zhang, Yebin Liu (*Equal Contribution) arXiv 2025 [Project] [PDF] [BibTeX] We present FlexAvatar, a flexible large reconstruction model for high-fidelity 3D head avatars with detailed dynamic deformation from single or sparse images, without requiring camera poses or expression labels. |
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Cheng Peng*, Jingxiang Sun*, Yushuo Chen, Zhaoqi Su, Zhuo Su, Yebin Liu (*Equal Contribution) International Conference on 3D Vision, 3DV 2026 [Project] [Arxiv] [BibTeX] We present the Parametric Gaussian Human Model (PGHM), a generalizable and efficient framework that integrates human priors into 3DGS for fast and high-fidelity avatar reconstruction from monocular videos. |
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Zhanfeng Liao, Hanzhang Tu, Cheng Peng, Hongwen Zhang, Boyao Zhou, and Yebin Liu International Conference on Computer Vision, ICCV 2025 [Project] [Arxiv] [BibTeX] We introduce HADES, the first framework to seamlessly integrate dynamic hair into human avatars. |
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Jingxiang Sun, Cheng Peng, Ruizhi Shao, Yuan-Chen Guo, Xiaochen Zhao, Yangguang Li, Yanpei Cao, Bo Zhang, Yebin Liu IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI 2025 [Project] [Arxiv] [BibTeX] We present DreamCraft3D++, an extension of DreamCraft3D that enables efficient high-quality generation of complex 3D assets in 10 minutes. |
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Ruizhi Shao, Jingxiang Sun, Cheng Peng, Zerong Zheng, Boyao Zhou, Hongwen Zhang, Yebin Liu IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2024 [Project] [Arxiv] [Code] [BibTeX] We propose Control4D, an approach to high-fidelity and spatiotemporal-consistent 4D portrait editing with only text instructions. |
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Academic Excellence Award, Tsinghua University, 2021
Comprehensive Excellence Award, Tsinghua University, 2022 Outstanding Graduates (Beijing & Dept. of Automation, Tsinghua University), 2024 |
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Updated at Dec. 2025.
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