GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions

Image restoration in adverse weather conditions is a difficult task in computer vision. In this paper, we propose a novel transformer-based framework called GridFormer which serves as a backbone for image restoration under adverse weather conditions. GridFormer is designed in a grid structure using...

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Bibliographic Details
Published in:International journal of computer vision Vol. 132; no. 10; pp. 4541 - 4563
Main Authors: Wang, Tao, Zhang, Kaihao, Shao, Ziqian, Luo, Wenhan, Stenger, Bjorn, Lu, Tong, Kim, Tae-Kyun, Liu, Wei, Li, Hongdong
Format: Journal Article
Language:English
Published: New York Springer US 01.10.2024
Springer
Springer Nature B.V
Subjects:
Artificial Intelligence
Attention
Computer Imaging
Computer Science
Computer vision
Design
Electric transformers
Image enhancement
Image processing
Image Processing and Computer Vision
Image restoration
Machine vision
Pattern Recognition
Pattern Recognition and Graphics
Source code
Vision
Weather
Image dehazing
Image deraining
Transformer
Image restoration
Multi-weather restoration
Attention
ISSN:0920-5691, 1573-1405
Online Access:Get full text
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