Deep-Exemplar-based-Video-Colorization
Anime2Sketch
| Deep-Exemplar-based-Video-Colorization | Anime2Sketch | |
|---|---|---|
| 4 | 7 | |
| 330 | 1,888 | |
| - | - | |
| 0.0 | 3.4 | |
| over 1 year ago | 9 months ago | |
| Python | Python | |
| MIT License | MIT 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.
Anime2Sketch
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[P] AI for turning anime into line art
github: https://github.com/Mukosame/Anime2Sketch
- Anime2Sketch: A sketch extractor for illustration, anime art, manga
- "Anime2Sketch: A Sketch Extractor for Anime Arts with Deep Networks", Xiang et al 2021
What are some alternatives?
CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Few-Shot-Patch-Based-Training - The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
UGATIT - Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
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.
GANime - A deep learning program that automatically generates colorized anime characters based on sketch drawings.
OASIS - Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)
PromptGallery-stable-diffusion-webui - A prompt cookbook worked as stable-diffusion-webui extenstions.
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
anime-face-detector - Anime Face Detector using mmdet and mmpose