Deep-Exemplar-based-Video-Colorization
ArtGAN
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| Deep-Exemplar-based-Video-Colorization | ArtGAN | |
|---|---|---|
| 4 | 1 | |
| 317 | 400 | |
| - | - | |
| 0.0 | 3.6 | |
| over 1 year ago | 8 months ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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Deep-Exemplar-based-Video-Colorization
- [Machine Learning] [R] colorisation vidéo basée sur un exemple
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Show HN: I made a new AI colorizer
Thanks! yeah, a few people have used the tool to colorize videos, frame by frame. For example Lord of the flies (1963): https://www.dailymotion.com/video/x8eiho4
Although, I'd recommend colorizing a few key frames and then use https://github.com/zhangmozhe/Deep-Exemplar-based-Video-Colo...
Cool, yeah, my next model will be better for comic books. You can also use the 'Surprise Me' button in the editor and you'll get some decent results.
- 1929 video from Shanghai, upscaled to 4K color using AI
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[P] Colorizing the legacy videos with attention mechanism
We recently released the code for our paper "Deep Exemplar-based Video Colorization". The code along with the Colab demo is available at: https://github.com/zhangmozhe/Deep-Exemplar-based-Video-Colorization. Welcome to have a try.
ArtGAN
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I'm looking for hoards of modern digital art to train an AI to generate art
This could help: https://github.com/cs-chan/ArtGAN https://archive.org/details/academictorrents_1d154cde2fab9ec8039becd03d9bb877614d351b Reach out to e.g. the National Gallery of Art providing proof of your student status (like enrollment cert and a note from your prof); they might be able to provide you with a bulk download option for their paintings. Reach out to the art department and the library of your uni - they might be able to help.
What are some alternatives?
CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
ebsynth - Fast Example-based Image Synthesis and Style Transfer
Few-Shot-Patch-Based-Training - The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
mmagic - OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
OASIS - Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
TraVeLGAN_with_perceptual_loss - The implementation code of Thesis project which entitled "Photo-to-Emoji Transformation with TraVeLGAN and Perceptual Loss" as a final project in my master study.
StyleSwin - [CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation
HyperGAN - Composable GAN framework with api and user interface
MobileStyleGAN.pytorch - An official implementation of MobileStyleGAN in PyTorch