neural-style-pt
pytorch-AdaIN
neural-style-pt | pytorch-AdaIN | |
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35 | 1 | |
817 | 1,001 | |
- | - | |
0.0 | 0.0 | |
over 1 year ago | 3 months ago | |
Python | Python | |
MIT License | MIT License |
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neural-style-pt
- beler nasıl olmuş sinirsel stil aktarımı
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python models/download_models.py where is this?
Is this the file you're looking for?
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Here's something you don't see every day: PyTorch running on top of ROCm on a 6800M (6700XT) laptop! Took a ton of minor config tweaks and a few patches but it actually functionally works. HUGE!
Well, mostly this one https://github.com/ProGamerGov/neural-style-pt . It's based on pytorch.
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Limited Perspective, Digital artwork made by me.
I generated Neural Style 2021_11_18_08_15_07 with the content of this post and the style of a post in /r/AbstractArt using a neural style transfer algorithm.
- what is your current special interest/hyperfixation?
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An AI painted how the world will look like in 2050 based on current climate change predictions
I know about neural algorithms. Looking into that site, it looks like the person who created the site used this github project as a kicking off point, but again, that's just art generation from a standard neural algorithm. It doesn't have any capacity to do it from a word that has a meaning.
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333 Cover art in the style of Bladee's own artwork using AI
For anyone wondering, here's the AI I used as well as a tutorial on how to use it.
- [D] What are some cool projects for generating art?
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I used a style transfer AI to combine The Fool’s cover with various other Bladee covers
Neural Style
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Hi, I was drawing a fanart piece that morphed into this. I hope you dig.
I generated Neural Style 2021_06_10_01_13_31 with the content of this post and the style of a post in /r/comicbooks using a neural style transfer algorithm.
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.
What are some alternatives?
STROTSS - Style Transfer by Relaxed Optimal Transport and Self-Similarity (CVPR 2019)
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.
StyleGAN-nada
contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
style-transfer-pytorch - Neural style transfer in PyTorch.
prism - High Resolution Style Transfer in PyTorch with Color Control and Mixed Precision :art:
artistic-videos - Torch implementation for the paper "Artistic style transfer for videos"
stylized-neural-painting - Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.
ada-conv-pytorch
style-transfer-app - An asynchronous dual application (web + Telegram bot) for stylization images.
Styleformer - A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.