Search Results for author: Fanghua Yu

Found 4 papers, 2 papers with code

Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

no code implementations24 Jan 2024 Fanghua Yu, Jinjin Gu, Zheyuan Li, JinFan Hu, Xiangtao Kong, Xintao Wang, Jingwen He, Yu Qiao, Chao Dong

We introduce SUPIR (Scaling-UP Image Restoration), a groundbreaking image restoration method that harnesses generative prior and the power of model scaling up.

Descriptive Image Restoration

DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

1 code implementation29 Aug 2023 Xinqi Lin, Jingwen He, Ziyan Chen, Zhaoyang Lyu, Bo Dai, Fanghua Yu, Wanli Ouyang, Yu Qiao, Chao Dong

We present DiffBIR, a general restoration pipeline that could handle different blind image restoration tasks in a unified framework.

Blind Face Restoration Image Denoising +2

GET3D--: Learning GET3D from Unconstrained Image Collections

no code implementations27 Jul 2023 Fanghua Yu, Xintao Wang, Zheyuan Li, Yan-Pei Cao, Ying Shan, Chao Dong

While generative models have shown potential in creating 3D textured shapes from 2D images, their applicability in 3D industries is limited due to the lack of a well-defined camera distribution in real-world scenarios, resulting in low-quality shapes.

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