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Control4D: Efficient 4D Portrait Editing with Text
Ruizhi Shao, Jingxiang Sun, Cheng Peng, Zerong Zheng, Boyao Zhou, Hongwen Zhang, Yebin Liu
2023 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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