fast-style-transfer
randomCNN-voice-transfer
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fast-style-transfer | randomCNN-voice-transfer | |
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4 | 1 | |
10,866 | 398 | |
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0.0 | 1.9 | |
10 months ago | 11 months ago | |
Python | Python | |
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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
randomCNN-voice-transfer
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Le Deep Fake c'est fun. (je suis tellement désolée)
Il suffirait de rajouter ca et ce serait MAGNIFIQUE !
What are some alternatives?
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
avatarify - Avatars for Zoom, Skype and other video-conferencing apps.
animegan2-pytorch - PyTorch implementation of AnimeGANv2
sketch-to-art - 🖼 Create artwork from your casual sketch with GAN and style transfer
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.
so-vits-svc-fork - so-vits-svc fork with realtime support, improved interface and more features. [Moved to: https://github.com/voicepaw/so-vits-svc-fork]
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.