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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

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 14.6 KB
Dependencies parsed at: Pending

Created at: 9 months ago
Updated at: 9 months ago
Pushed at: 9 months ago
Last synced at: 9 months ago

Topics: adversarial-machine-learning, cgan, deblurgan, deblurring, deblurring-algorithm, gan, perceptual-losses, wasserstein-gan

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