Title
Shadow Removal with Paired and Unpaired Learning
Abstract
Shadow removal is an important computer vision task aiming at the detection and successful removal of the shadow produced by an occluded light source and a photorealistic restoration of the image contents. Decades of research produced a multitude of hand-crafted restoration techniques and, more recently, learned solutions from shadowed and shadow-free training image pairs. In this work, we propose...
Year
DOI
Venue
2021
10.1109/CVPRW53098.2021.00092
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Keywords
DocType
ISSN
Training,Computer vision,Conferences,Image restoration,Pattern recognition,Task analysis,Light sources
Conference
2160-7508
ISBN
Citations 
PageRank 
978-1-6654-4899-4
2
0.50
References 
Authors
0
4
Name
Order
Citations
PageRank
Florin-Alexandru Vasluianu191.27
Andres Romero220.84
Luc Van Gool3275661819.51
Radu Timofte41880118.45