2018
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
CVPR 2018poster
We present DeblurGAN, an end-to-end learned method for motion deblurring. The learning is based on a conditional GAN and the content loss . DeblurGAN achieves state-of-the art performance both in the structural similarity measure and visual appearance. The quality of the deblurring model is also e…