Бібліографічний опис:
Kupyn, Orest. Conditional Adversarial Networks for Blind Image Deblurring : Master Thesis : manuscript rights / Orest Kupyn ; Supervisor Dr. Rostyslav Hryniv ; Ukrainian Catholic University, Department of Computer Sciences. – Lviv : [s.n.], 2017. – 44 p. : ill.
Короткий опис (реферат):
We present an end-to-end learning approach for motion deblurring,
which is based on conditional GAN and content loss – DeblurGAN.
DeblurGAN achieves state-of-the art in structural similarity measure
and by visual appearance. The quality of the deblurring model is also
evaluated in a novel way on a real-world problem – object detection
on (de-)blurred images. The method is 5 times faster than the closest
competitor.
Second, we present a novel method of generating synthetic motion
blurred images from the sharp ones, which allows realistic dataset
augmentation.
