We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
How about a SRGAN implementation with PL? There are popular MIT licensed PyTorch ones out there that can serve as the basis (https://github.com/eriklindernoren/PyTorch-GAN/blob/master/implementations/srgan/srgan.py, https://github.com/https-deeplearning-ai/GANs-Public/blob/master/C3W2_SRGAN_(Optional).ipynb).
SRGAN is one of the most popular image super-resolution techniques and should not be missed in the bolts library.
The text was updated successfully, but these errors were encountered:
@chris-clem Thanks for your suggestion! I'm not familiar with super resolution, but SRGAN seems very popular as I see the number of citations on Google Scholar, so I think it'd be great to have SRGAN.
Let's hear what other maintainers think of this suggestion :]
Sorry, something went wrong.
Successfully merging a pull request may close this issue.
🚀 Feature
How about a SRGAN implementation with PL? There are popular MIT licensed PyTorch ones out there that can serve as the basis (https://github.com/eriklindernoren/PyTorch-GAN/blob/master/implementations/srgan/srgan.py, https://github.com/https-deeplearning-ai/GANs-Public/blob/master/C3W2_SRGAN_(Optional).ipynb).
Motivation
SRGAN is one of the most popular image super-resolution techniques and should not be missed in the bolts library.
The text was updated successfully, but these errors were encountered: