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3D object manipulation in a single image using generative models
Ruisi Zhao,
Zechuan Zhang,
Zongxin Yang,
Yi Yang
ArXiv, 2025
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We introduce OMG3D, a novel framework that combines precise geometric control with the generative power of diffusion models, thus achieving significant improvements in visual performance.
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SIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstruction
Zechuan Zhang,
Zongxin Yang,
Yi Yang,
Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Highlight, top 12%)
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[新智元]
With just a single image, SIFU is capable of reconstructing a high-quality 3D clothed human model, making it well-suited for practical applications such as scene creation and 3D printing.
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Academic Services
- Conference Reviewer: ACM MM
- Journal Reviewer: TPAMI
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Awards
- First Prize in the China Graduate Artificial Intelligence Competition (4/2228).
- BYD Scholarship in the session of 2024.
- CHU KOCHEN Scholarship in the session of 2022 (Highest Honor at Zhejiang University).
- China National Scholarship for undergraduate in the session of 2020, 2021 and 2022.
- First Class Scholarship of Zhejiang University in the session of 2020, 2021 and 2022.
- Outstanding Winner in National Application of GIS Skill Competition in 2021.
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