TediGAN
stylized-neural-painting
TediGAN | stylized-neural-painting | |
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1 | 6 | |
361 | 1,536 | |
0.0% | - | |
0.0 | 0.0 | |
about 1 year ago | over 2 years ago | |
Python | Python | |
MIT License | Creative Commons Zero v1.0 Universal |
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TediGAN
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test
(Added Feb. 23, 2021) TediGAN - Colaboratory by weihaox. Uses StyleGAN to generate images. GitHub. I got error "No pre-trained weights found for perceptual model!" when I used the Colab notebook, which was fixed when I made the change mentioned here. After this change, I still got an error in the cell that displays the images, but the results were in the remote file system. Use the "Files" icon on the left to browse the remote file system.
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.
Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
Story2Hallucination
VectorAscent - Generate vector graphics from a textual caption
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
AuViMi - AuViMi stands for audio-visual mirror. The idea is to have CLIP generate its interpretation of what your webcam sees, combined with the words thare are spoken.
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.
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
clipping-CLIP-to-GAN
pytorch-AdaIN - Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]