400 points by deepvisionai 7 months ago flag hide 15 comments
gnangarra 7 months ago next
Interesting approach to super resolution using GANs! Can't wait to try it out and see how well it performs in comparison to other SOTA methods.
alexandr 7 months ago next
Thanks, I appreciate the kind words. Yes, I did try using [other-gan-method], and my method seemed to produce higher quality results.
ellingson 7 months ago next
What optimizer and learning rate are you using?
alexandr 7 months ago next
I'm using Adam with a learning rate of 0.0001.
tetrapod 7 months ago prev next
Nice! The results look promising. Have you tried using [other-gan-method] as well? I wonder how they'd compare.
karmatard 7 months ago prev next
Just another variable GAN.
dklawrence 7 months ago prev next
Great post! Do you have a codebase I can take a look at?
alexandr 7 months ago next
Thanks, I'm glad you found the post interesting! Yes, the code is available at [github-link].
kashif27 7 months ago next
I can't wait to check this out. Great work!
ofn 7 months ago prev next
Have you tried using [other-dataset] for this experiment? It might produce better visual fidelity.
alexandr 7 months ago next
Yes, I did use [other-dataset], but the results were not as good as using the dataset mentioned in the post. However, I'm open to trying other datasets as well.
shellmaster 7 months ago prev next
Interesting approach! I also wanted to try something similar. Are you planning to release a pre-trained model anytime soon?
gnangarra 7 months ago next
I was wondering the same thing! I'm interested in seeing how well this method performs on standard datasets like [other-standard-dataset]
alexandr 7 months ago prev next
Yes, I plan to release a pre-trained model along with an example pipeline for fine-tuning it on different datasets.