GitHub / himanii777 / DeblurGAN_ipynb_simplified
This is a very simplified ipynb code for KupynOrest's Deblur GAN code. DeblurGAN addresses the challenge of end-to-end image deblurring through the use of conditional Generative Adversarial Networks (cGANs).I have used pytorch for this implementation.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himanii777%2FDeblurGAN_ipynb_simplified
PURL: pkg:github/himanii777/DeblurGAN_ipynb_simplified
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 14.6 KB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: adversarial-machine-learning, cgan, deblurgan, deblurring, deblurring-algorithm, gan, perceptual-losses, wasserstein-gan