pytorch-pretrained-BigGAN
Deep-Exemplar-based-Video-Colorization
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pytorch-pretrained-BigGAN | Deep-Exemplar-based-Video-Colorization | |
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Python | Python | |
MIT License | MIT License |
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pytorch-pretrained-BigGAN
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[D] Pre-trained weights for GANs online?
To my surprise, there don't seem to be many GAN weights available for download. Worse yet, many that are available (e.g., https://github.com/huggingface/pytorch-pretrained-BigGAN ) only come with pre-trained generator weights, not discriminator weights. But I need both.
- GAN based images
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.
What are some alternatives?
HyperGAN - Composable GAN framework with api and user interface
CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
ALAE - [CVPR2020] Adversarial Latent Autoencoders
Few-Shot-Patch-Based-Training - The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
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.
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
OASIS - Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)
Anime2Sketch - A sketch extractor for anime/illustration.
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.
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).