Activating More Pixels in Image Super-Resolution Transformer

Author:

Chen Xiangyu1,Wang Xintao2,Zhou Jiantao1,Qiao Yu3,Dong Chao3

Affiliation:

1. University of Macau,State Key Laboratory of Internet of Things for Smart City

2. Tencent PCG,ARC Lab

3. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences,Shenzhen Key Lab of Computer Vision and Pattern Recognition

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association of Chinese Academy of Sciences

Publisher

IEEE

Reference72 articles.

1. CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows

2. Uformer: A General U-Shaped Transformer for Image Restoration

3. Accelerating the super-resolution convolutional neural network;dong;European Conference on Computer Vision,0

4. Esrgan: Enhanced super-resolution generative adversarial networks;wang;Proceedings of the European Conference on Computer Vision (ECCV) Workshops,0

5. Interpreting Super-Resolution Networks with Local Attribution Maps

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