CLIPstyler
fast-style-transfer
| CLIPstyler | fast-style-transfer | |
|---|---|---|
| 1 | 4 | |
| 286 | 10,885 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | 11 months ago | |
| Python | Python | |
| MIT License | - |
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CLIPstyler
fast-style-transfer
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Where to learn how to turn photos into images in the style of famous painters?
Try: https://github.com/lengstrom/fast-style-transfer . There are links to the underlying papers.
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I had an AI generate a bunch of synthwave inspired art. This was the result.
The algorithm is called style transfer, here's a well known implementation https://github.com/lengstrom/fast-style-transfer
- 【Image Transformation】Convert pictures to add styles from famous paintings
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10 Deep Learning Projects (Beginner & Advanced)
TensorFlow Fast Style Transfer PyTorch Fast Neural Style
What are some alternatives?
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
randomCNN-voice-transfer - Audio style transfer with shallow random parameters CNN.
animegan2-pytorch - PyTorch implementation of AnimeGANv2
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.
OpenCV - Open Source Computer Vision Library
examples - A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
neural-style-pt - PyTorch implementation of neural style transfer algorithm
Growing-Neural-Cellular-Automata - A reproduction of growing neural cellular automata using PyTorch.