stylized-neural-painting
collection-of-notebooks
| stylized-neural-painting | collection-of-notebooks | |
|---|---|---|
| 6 | 1 | |
| 1,536 | 103 | |
| - | - | |
| 0.0 | 1.8 | |
| over 2 years ago | about 1 year ago | |
| Python | Jupyter Notebook | |
| Creative Commons Zero v1.0 Universal | - |
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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
collection-of-notebooks
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test
(Added Feb. 5, 2021) Text2Image_v3 - Colaboratory by tg_bomze. Uses BigGAN (default) or Sigmoid to generate images. GitHub.
What are some alternatives?
Primitive Pictures - Reproducing images with geometric primitives.
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
Story2Hallucination
StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
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
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
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)
TediGAN - [CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
pytorch-AdaIN - Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
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.