Search Results for author:
Found 2 papers, 1 papers with code
Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution
To better exploit the powerful generative capability of GAN for real-world face SR, in this paper, we establish two independent degradation branches in the forward and backward cycle-consistent reconstruction processes, respectively, while the two processes share the same restoration branch.
NLHD: A Pixel-Level Non-Local Retinex Model for Low-Light Image Enhancement
Then a minimum fusion strategy on the results of these two transforms is utilized to achieve more natural illumination component enhancement.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
