Deep-Exemplar-based-Video-Colorization
colorization
| Deep-Exemplar-based-Video-Colorization | colorization | |
|---|---|---|
| 4 | 1 | |
| 330 | 3,280 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | 5 months ago | |
| Python | Python | |
| MIT License | BSD 2-clause "Simplified" 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.
colorization
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German WW1 Cavalryman (Colorized using AI)
https://github.com/junyanz/interactive-deep-colorization however a much more user friendly version with similar results can be found here: https://deepai.org/machine-learning-model/colorizer
What are some alternatives?
CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Awesome-Image-Colorization - :books: A collection of Deep Learning based Image Colorization and Video Colorization papers.
Few-Shot-Patch-Based-Training - The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
multi-object-tracker - Multi-object trackers in Python
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.
interactive-deep-colorization - Deep learning software for colorizing black and white images with a few clicks.
OASIS - Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)
szabadfogasu-maszk - A face mask detection system using Tensorflow/Keras and OpenCV, for the "<19 Szabadfogású Számítógép" competition in 2020.
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.
HyperGAN - Composable GAN framework with api and user interface
ArtGAN - ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.
esrgan - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution