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Update Awesome-GAN with new lists #14
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firstly, thx for your interest of my repo! i'm same thought of yours! currently, this repo code is sort of messy and hard to use (inference) and not maintained so long time. currently, i'm so busy cuz of the work, but i'll try to re-maintain the whole code of the repo and review SOTA GANs' papers as possible as i can! if there're any advises or thoughts, feel free to leave here! thank you for your opinion! |
Understandable, hope you can get back to having free time for fun and such.
Simplified Interface that separates image models from GAN structure? Kinda like this? Remember: A well documented GAN is an AWESOME GAN. |
thx for your references! i'll try to follow up later! |
This whole idea of modularity makes me want to name it... |
Is it possible for you to have an annual review of new GANs that arrives on the scene through https://github.com/nightrome/really-awesome-gan?
P.S. it would be nice if you can draw a diagram for each of the GANs and explain how they differ, and maybe create a generalized GAN interface so that people can hot-swap whatever CNNs they would like to use from https://github.com/CeLuigi/models-comparison.pytorch/wiki/Accuracy-vs-Computational-complexity for more diverse designs.
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