Paper Info
Title
Toward Interactive Modulation for Photo-Realistic Image Restoration
Abstract
Modulating image restoration level aims to generate a restored image by altering a factor that represents the restoration strength. Previous works mainly focused on optimizing the mean squared reconstruction error, which brings high reconstruction accuracy but lacks finer texture details. This paper presents a Controllable Unet Generative Adversarial Network (CUGAN) to generate high-frequency text...
Year
DOI
Venue
2021
10.1109/CVPRW53098.2021.00039
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Keywords
DocType
ISSN
Degradation,Modulation,Generative adversarial networks,Generators,Image restoration,Pattern recognition,Task analysis
Conference
2160-7508
ISBN
Citations 
PageRank 
978-1-6654-4899-4
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Haoming Cai141.74
Jingwen He261.83
Yu Qiao32267152.01
Chao Dong4206480.72