Colab-BigGANxCLIP
stylized-neural-painting
| Colab-BigGANxCLIP | stylized-neural-painting | |
|---|---|---|
| 1 | 6 | |
| 2 | 1,536 | |
| - | - | |
| 10.0 | 0.0 | |
| over 3 years ago | over 2 years ago | |
| Jupyter Notebook | Python | |
| - | Creative Commons Zero v1.0 Universal |
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Colab-BigGANxCLIP
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test
(Added Feb. 24, 2021) Colab-BigGANxCLIP.ipynb - Colaboratory by styler00dollar. Uses BigGAN to generate images. "Just a more compressed/smaller version of that [advadnoun's] notebook". GitHub.
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
What are some alternatives?
StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.
Primitive Pictures - Reproducing images with geometric primitives.
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
Story2Hallucination
stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP
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
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.
Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
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
VectorAscent - Generate vector graphics from a textual caption
pytorch-AdaIN - Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]