Title
Projected Distribution Loss for Image Enhancement
Abstract
Features obtained from object recognition CNNs have been widely used for measuring perceptual similarities between images. Such differentiable metrics can be used as perceptual learning losses to train image enhancement models. However, the choice of the distance function between input and target features may have a consequential impact on the performance of the trained model. While using the norm...
Year
DOI
Venue
2021
10.1109/ICCP51581.2021.9466271
2021 IEEE International Conference on Computational Photography (ICCP)
Keywords
DocType
ISSN
Computational Photography
Conference
2164-9774
ISBN
Citations 
PageRank 
978-1-6654-1952-9
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Mauricio Delbracio100.34
hossein talebi2483.75
Peyman Milanfar33284155.61