Learning Distortion Invariant Representation for Image Restoration from a Causality Perspective

Author:

Li Xin1,Li Bingchen1,Jin Xin2,Lan Cuiling3,Chen Zhibo1

Affiliation:

1. University of Science and Technology of China

2. Eastern Institute for Advanced Study

3. Microsoft Research Asia

Funder

NSFC

Publisher

IEEE

Reference75 articles.

1. Learning in-variant representation for unsupervised image restoration;du;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,0

2. AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

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

4. An image is worth 16x16 words: Trans-formers for image recognition at scale;dosovitskiy;ar Xiv preprint,2020

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