Search Results for author: Fuzhi Yang

Found 4 papers, 2 papers with code

Degradation-Guided Meta-Restoration Network for Blind Super-Resolution

no code implementations3 Jul 2022 Fuzhi Yang, Huan Yang, Yanhong Zeng, Jianlong Fu, Hongtao Lu

The extractor estimates the degradations in LR inputs and guides the meta-restoration modules to predict restoration parameters for different degradations on-the-fly.

Blind Super-Resolution Image Restoration +1

Learning Texture Transformer Network for Image Super-Resolution

1 code implementation CVPR 2020 Fuzhi Yang, Huan Yang, Jianlong Fu, Hongtao Lu, Baining Guo

In this paper, we propose a novel Texture Transformer Network for Image Super-Resolution (TTSR), in which the LR and Ref images are formulated as queries and keys in a transformer, respectively.

Hard Attention Image Generation +2

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