In medical image segmentation, supervised deep networks' success comes a...
Existing reference (RF)-based super-resolution (SR) models try to improv...
Super-resolution (SR) has traditionally been based on pairs of
high-reso...
By benefiting from perceptual losses, recent studies have improved
signi...
Despite significant progress toward super resolving more realistic image...
Cross-domain synthesizing realistic faces to learn deep models has attra...
Attribute guided face image synthesis aims to manipulate attributes on a...
Littering quantification is an important step for improving cleanliness ...