Deep-Exemplar-based-Video-Colorization
CycleGAN
| Deep-Exemplar-based-Video-Colorization | CycleGAN | |
|---|---|---|
| 4 | 2 | |
| 346 | 12,537 | |
| 0.0% | 0.9% | |
| 0.0 | 2.5 | |
| over 2 years ago | over 1 year ago | |
| Python | Lua | |
| MIT License | GNU General Public License v3.0 or later |
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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.
CycleGAN
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good computer vision or deep learning projects in github
CycleGAN (GitHub: https://github.com/junyanz/CycleGAN) is a deep learning-based image-to-image translation approach without paired examples, implemented in PyTorch.
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AI will take over all the jobs
It's image translation, check this out https://github.com/junyanz/CycleGAN
What are some alternatives?
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.
art-DCGAN - Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.
OASIS - Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)
anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
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”.
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs