Improving single-image resolution with GAN #39
Labels
assigned
The project is assigned to a contributor
By Contributor
Is the project proposal was given by a contributor
Deep Learning
This project will be under the DL folder
GSSOC 23
This issue is part of Girl script summer of Code
Project Request
Define You
Project Name
Description
[SRGAN is a generative adversarial network for single image super-resolution. It uses a perceptual loss function which consists of an adversarial loss and a content loss. The adversarial loss pushes the solution to the natural image manifold using a discriminator network that is trained to differentiate between the super-resolved images and original photo-realistic images. Generating Images with better higher resolutions ]
Scope
[The project aims to improve the resolution of images with the help of a pytorch-based implementation.]
Timeline
[starting date: assignment date
duration: 5-10 days ]
Video Links or Support Links
[SRGAN]
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