most citedFragmGAN: Generative Adversarial Nets for Fragmentary Data Imputation and Prediction

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

1 paper · 1 filter

cs.CV2021

SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning

Ali Syed Saqlain, Li-Yun Wang, Fang Fang

In this paper, we introduce an end-to-end generative adversarial network (GAN) based on sparse learning for single image blind motion deblurring, which we called SL-CycleGAN. For t…