interactive-deep-colorization
DeOldify
interactive-deep-colorization | DeOldify | |
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1 | 58 | |
2,697 | 17,996 | |
0.0% | - | |
0.0 | 3.4 | |
over 2 years ago | 5 months ago | |
Python | Python | |
MIT License | MIT License |
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interactive-deep-colorization
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Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!
Not sure if either of these tools help, https://github.com/junyanz/interactive-deep-colorization & https://github.com/jantic/DeOldify Good luck.
DeOldify
- Would someone be able to restore this image of my grandpa in the marines? Color and non if possible!
- Help achieving a look from B&W to color film
- Is there a way to colorize images like this using controlNet and without morphing his face? If yes, does anyone know how?
- controlnet is great to bring back life to old picture. This was one of the most dangerous job in my country. Moving logs on a river
- ControlNet for Automatic1111 is here!
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I improved the colorization of the NYC 1911 film by combining multiple colorization neural networks. Here is a brief comparison to the previous method. I will leave a link to the full video in the comments for those who are interested.
The old method is simple. All you need to do is running DeOldify with a colab notebook. Then you can pick any neural networks you want for upscale and frame interpolation. A lot of people use dain-app, but I find rife faster and easier to use.
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80 Blog Posts to Learn Computer Vision
Today, we’re talking to a very special “Software Guy, currently digging deep into GANs” — The author of DeOldify: Jason Antic.
- Znalazłem ostatnio AI do restaurowania i kolorowania starych zdjęć i tym oto sposobem udało mi się odnowić jedyne zdjęcie mojego pradziadka o którym praktycznie nic nie wiem (poza tym, że został rozstrzelany za wojny i był niezły babiarz)! Załączę linki w komentarzu. :) Krawat w cętki wymiata. :D
- Anyone know of a (preferably local) batch-image colourisation software?
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Retro personal computer ads from the 1980s
I think the novel and interesting tech is still happening, its just that without the colorful ads for it on TV, and without the software being packaged up and sold with pretty box art that you can physically hold, it doesn't feel as much like a capital-E Experience. It's probably the Internet's fault that we don't do things like that anymore, but the upside is that we now have access to so many ideas and applications from all over, even ones that aren't commercially viable.
Some that look exciting to me are: an AI that lets you animate still photos realistically [1], a simple website that guides you to discover new parks, eateries, and other places near you [2], an AI that colorizes old black-and-white photos/video [3], a Street View style map of the game world from "The Legend of Zelda: Breath of the Wild", with some 1st person 360 degree photos [4], and a tiny game engine that lets you distribute your whole game physically via printed QR codes [5].
If marketing and graphic design people ever felt like getting together to do some 'side projects', I vote that they should make print ads for apps/websites that they like :)
[1] https://github.com/AliaksandrSiarohin/first-order-model
[2] https://randomlocation.xyz (https://randomlocation.xyz/help.txt for customization)
[3] https://github.com/jantic/DeOldify
[4] https://nassimsoftware.github.io/zeldabotwstreetview/
[5] https://github.com/kesiev/rewtro
What are some alternatives?
Awesome-Image-Colorization - :books: A collection of Deep Learning based Image Colorization and Video Colorization papers.
sd-webui-controlnet - WebUI extension for ControlNet
colorization - Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
ArtLine - A Deep Learning based project for creating line art portraits.
arXiv2021-RIFE - Real-Time Intermediate Flow Estimation for Video Frame Interpolation [Moved to: https://github.com/hzwer/ECCV2022-RIFE]
Real-ESRGAN-ncnn-vulkan - NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.