pytorch-AdaIN
prism
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| pytorch-AdaIN | prism | |
|---|---|---|
| 1 | 5 | |
| 1,001 | 100 | |
| - | - | |
| 0.0 | 0.0 | |
| 3 months ago | over 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
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pytorch-AdaIN
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[P] Can't finish my master's thesis. What to do?
Thanks for the comment. I am using the 3d views directly. I tried to use some form of style transfer (https://github.com/naoto0804/pytorch-AdaIN) from real to synth data, but the result was'nt that appealing, so I moved on. I guess that it could be due to the fact that generally the real data that I have has low resolution (120x40 tipically). I ll have a check on the model that you suggested though, seems interesting.
prism
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Stable Diffusion might be the holy grail.
I'll point you towards Prism, then. As far as style transfer goes, it's the best I've found so far. Extremely simple to run in colab and offline, plus the results are quite good for what it's doing. I used it a ton before I started running Face Portrait v2 offline as a general "art" filter for things I'm working on. It does stylization and some facial morphing in one pass, which adds a lot more personality than style transfer alone. You can also use it on anything, not just faces.
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Best High Resolution Style Transfer
My best results are with https://github.com/moritztng/prism, but this only gets me to ~4MP max.
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How is it Possible To Create High Res Images With Low Res Network?
Naive question here. I notice a lot of style transfer libraries (e.g. https://github.com/moritztng/prism) can create high res images (2048x2048) or bigger.
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The Apple, Me, AI-Assisted Digital Collage, 2021
This is a mix of original photography, Prism, and some quick finalizations in Photoshop. The goal was to create something of an ironic still life.
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I built a shop based on style transfer where you can buy personal artworks as canvas prints
Code: https://github.com/moritztng/prism
What are some alternatives?
pytorch-neural-style-transfer - Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.
style-transfer-pytorch - Neural style transfer in PyTorch.
contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
style-transfer-app - An asynchronous dual application (web + Telegram bot) for stylization images.
neural-style-pt - PyTorch implementation of neural style transfer algorithm
animegan2-pytorch - PyTorch implementation of AnimeGANv2
stylized-neural-painting - Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.