stylized-neural-painting
pytorch-AdaIN
| stylized-neural-painting | pytorch-AdaIN | |
|---|---|---|
| 6 | 1 | |
| 1,536 | 1,001 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | 3 months ago | |
| Python | Python | |
| Creative Commons Zero v1.0 Universal | MIT License |
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stylized-neural-painting
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I want to create an image to image transformer but I have no idea how to get started.
I want to create a Python program that takes in an image, paints over it, then spits out the resulting image. What I want to do is almost exactly like this project, but I want to do it from scratch, and make it more attuned to people's faces, as well as add more than just oil painting, pixel art, and marker strokes.
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test
(Added Mar. 9, 2021) PaintCLIP.ipynb - Colaboratory by advadnoun. Uses Stylized Neural Painter to generate images. As of time of writing, this gave me an error message.
- I want to create a Stylized Neural Painting software
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Combine neural painting with deepbrush for 100% realistic computer-made painting?
I think stroke-based painting methods like these are neat: https://github.com/jiupinjia/stylized-neural-painting https://github.com/fogleman/primitive
- Stylized Neural Painting
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Idea for developers: Use CLIP to steer a differentiable vector graphics generator
Not exactly what you suggested, but pretty fun! Here's PaintCLIP using https://github.com/jiupinjia/stylized-neural-painting
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?
Primitive Pictures - Reproducing images with geometric primitives.
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.
Story2Hallucination
contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
neural-style-pt - PyTorch implementation of neural style transfer algorithm
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.
prism - High Resolution Style Transfer in PyTorch with Color Control and Mixed Precision :art:
big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
style-transfer-app - An asynchronous dual application (web + Telegram bot) for stylization images.
rome - Realistic mesh-based avatars. ECCV 2022
style-transfer-pytorch - Neural style transfer in PyTorch.