Xingyu Zhou

I am currently in my first year of pursuing a doctoral degree at University of Electronic Science and Technology of China. My advisor is Shuhang Gu. I received the B.S. degree from the Artificial Intelligence School, Xidian University in 2023.

My previous research interest is low-level vision, such as image/video restoration, image enhancement and so on. My current research interest lies in image or video generation. However, what remains unchanged is that I have always been excited about how to build more efficient models, including training and inference. In addition, I believe that this will ultimately impact the development of the AI community.

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News

[2026-01] One paper TVQ&RAP is accepted to ICLR 2026.

[2025-06] One paper CTMSR is accepted to ICCV 2025.

[2025-02] Two papers PFT-SR and DCAE are accepted to CVPR 2025.

[2024-03] Three papers MIA-VSR, ATD-SR and FR-INR are accepted to CVPR 2024.

Selected Publications

Parameterizing a scene with a Delaunay tetrahedralization and a neural field yields a scene representation that is accurate, fast to render, easy to edit, and backwards-compatible.

Parameterizing a scene with a Delaunay tetrahedralization and a neural field yields a scene representation that is accurate, fast to render, easy to edit, and backwards-compatible.

Parameterizing a scene with a Delaunay tetrahedralization and a neural field yields a scene representation that is accurate, fast to render, easy to edit, and backwards-compatible.

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