[38;5;12m                       [39m[38;2;255;187;0m[1m[4mAwesome Software for Image Coloring [0m[38;5;14m[1m[4m![0m[38;2;255;187;0m[1m[4mAwesome[0m[38;5;14m[1m[4m (https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)[0m[38;2;255;187;0m[1m[4m (https://github.com/sindresorhus/awesome)[0m

[38;5;12mA[39m[38;5;12m [39m[38;5;12mcurated[39m[38;5;12m [39m[38;5;12mlist[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mawesome[39m[38;5;12m [39m[38;5;12mAI-powered[39m[38;5;12m [39m[38;5;12mimage[39m[38;5;12m [39m[38;5;12mcoloring[39m[38;5;12m [39m[38;5;12mframeworks,[39m[38;5;12m [39m[38;5;12mlibraries[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12msoftware.[39m[38;5;12m [39m[38;5;12mInspired[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[48;5;235m[38;5;249mjosephmisiti/awesome-machine-learning[49m[39m[38;5;12m.[39m[38;5;12m [39m[38;5;12mIt's[39m[38;5;12m [39m[38;5;12ma[39m[38;5;12m [39m[38;5;12mgood[39m[38;5;12m [39m[38;5;12midea[39m[38;5;12m [39m[38;5;12mto[39m[38;5;12m [39m[38;5;12mexplore[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;12mGitHub[39m[38;5;12m [39m[38;5;12mtopic[39m[38;5;12m [39m[38;5;12mas[39m[38;5;12m [39m[38;5;12mwell[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;14m[1mTopic[0m[38;5;14m[1m [0m[38;5;14m[1m"Image[0m[38;5;14m[1m [0m[38;5;14m[1mcolorization"[0m[38;5;12m [39m
[38;5;12m(https://github.com/topics/image-colorization).[39m[38;5;12m [39m[38;5;12mIn[39m[38;5;12m [39m[38;5;12mcomparison[39m[38;5;12m [39m[38;5;12mto[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;12mawesome[39m[38;5;12m [39m[38;5;12mlist[39m[38;5;12m [39m[48;5;235m[38;5;249mMarkMoHR/Awesome-Image-Colorization[49m[39m[38;5;12m [39m[38;5;12m(which[39m[38;5;12m [39m[38;5;12mfocuses[39m[38;5;12m [39m[38;5;12mon[39m[38;5;12m [39m[38;5;12mresearch[39m[38;5;12m [39m[38;5;12mpapers),[39m[38;5;12m [39m[38;5;12mI[39m[38;5;12m [39m[38;5;12mfocus[39m[38;5;12m [39m[38;5;12mon[39m[38;5;12m [39m[38;5;12mpractical[39m[38;5;12m [39m[38;5;12mopen-source[39m[38;5;12m [39m[38;5;12msoftware.[39m

[38;2;255;187;0m[4mConsiderations[0m

[38;5;12mMost of the software runs in [39m[48;5;235m[38;5;249mPython[49m[39m[38;5;12m, and requires some kind of an AI frameworks (e.g. [39m[48;5;235m[38;5;249mTensorflow[49m[39m[38;5;12m) - which means you may need a GPU with a configured [39m[48;5;235m[38;5;249mCUDA[49m[39m[38;5;12m toolkit to run it in a reasonable time. [39m

[38;2;255;187;0m[4mFrameworks and libraries[0m

[38;2;255;187;0m[4m:snake: Python[0m

[38;2;255;187;0m[4mTensorflow[0m

[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mAutomatic Image Colorization[0m[38;5;12m (https://github.com/Armour/Automatic-Image-Colorization) - Automatic Image Colorization using TensorFlow based on Residual Encoder Network http://tinyclouds.org/colorize/[39m
[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mImage Colorization using Convolutional Networks[0m[38;5;12m (https://github.com/shekkizh/Colorization.tensorflow) - Image colorization using CNNs in tensorflow.[39m
[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mImage and video colorizer[0m[38;5;12m (https://github.com/PrimozGodec/ImageColorization) - Image and video colorizer is package for automatic image and video colorization. Models are already trained.[39m
[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mPIC - Probabilistic Image Colorization[0m[38;5;12m (https://github.com/ameroyer/PIC) - Probabilistic Image Colorization https://arxiv.org/abs/1705.04258[39m
[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mPhoto Coloring Using End2end CNN based Model![0m[38;5;12m (https://github.com/AbdelrahmanRadwan/photo-coloring) - A Deep Learning based coloring tool, which can color a black-white or gray picture.[39m

[38;2;255;187;0m[4mTensorflow with GANs[0m

[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mImage Colorization with Generative Adversarial Networks[0m[38;5;12m (https://github.com/ImagingLab/Colorizing-with-GANs) - [39m
[38;5;12mGrayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400[39m
[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mImage-colorization-using-CycleGAN[0m[38;5;12m (https://github.com/ArkaJU/Image-Colorization-CycleGAN) - Colorization of grayscale images using CycleGAN in TensorFlow.[39m

[38;2;255;187;0m[4mKeras[0m

[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mColoring Black and White photos with Neural Networks[0m[38;5;12m (https://github.com/emilwallner/Coloring-greyscale-images) - Coloring black and white images with deep learning.[39m
[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mJadeBlue96[0m[38;5;12m (https://github.com/JadeBlue96/Image-Colorization-of-Historical-Paintings) - Recolorizing grayscaled historical paintings and photos with Deep Learning using an Autoencoder CNN.[39m
[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mImage-Coloring[0m[38;5;12m (https://github.com/aman-chauhan/Image-Coloring) - Deep Neural Net for coloring grayscale images using local and global image features[39m
[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mImage-Colorization[0m[38;5;12m (https://github.com/thevarunsharma/Image-Colorization) - Automatic Image Colorization using a Convolutional Network (U-Net)[39m

[38;2;255;187;0m[4mFast.AI[0m

[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mDeOldify[0m[38;5;12m (https://github.com/jantic/DeOldify) - A Deep Learning based project for colorizing and restoring old images.[39m

[38;2;255;187;0m[4mCaffee[0m

[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mColorful Image Colorization[0m[38;5;12m (https://github.com/richzhang/colorization) - Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016. http://richzhang.github.io/colorization/[39m
[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mInteractive Deep Colorization[0m[38;5;12m (https://github.com/junyanz/interactive-deep-colorization) - Deep learning software for colorizing black and white images with a few clicks. https://richzhang.github.io/ideepcolor/[39m

[38;2;255;187;0m[4mPyTorch[0m

[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mInteractive Deep Colorization in PyTorch[0m[38;5;12m (https://github.com/richzhang/colorization-pytorch) - PyTorch reimplementation of Interactive Deep Colorization https://richzhang.github.io/ideepcolor/[39m
[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mAutomatic Image Colorization[0m[38;5;12m (https://github.com/kainoj/colnet) - Automatic Image Colorization with Simultaneous Classification – based on "Let there be Color!".[39m
[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mImage colorization with GANs[0m[38;5;12m (https://github.com/karoly-hars/GAN_image_colorizing) - Image colorization with generative adversarial networks on the CIFAR10 dataset.[39m
[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mColorful Image Colorization PyTorch[0m
[38;5;12m (https://github.com/Time0o/pytorch-colorful-colorization) - A from-scratch PyTorch implementation of "Colorful Image Colorization" by Zhang et al. created for the Deep Learning in Data Science course at KTH Stockholm.[39m
[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mColorful Image Colorization[0m[38;5;12m (https://github.com/Epiphqny/Colorization) - Pytorch implementation of the paper Colorful Image Colorization https://arxiv.org/abs/1603.08511[39m
[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mSquare-Images-Colorization[0m[38;5;12m (https://github.com/done1892/Square-Images-Colorization) - Colorization algorithms for images depicting cities squares[39m

[38;2;255;187;0m[4mC++[0m

[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mBeyond Landscapes: An Exemplar-based Image colorization method[0m[38;5;12m (https://github.com/saulo-p/Exemplar-Image-Colorization) - Exemplar-based Image Colorization method based on superpixel segmentation and classification.[39m

[38;2;255;187;0m[4mC#[0m

[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mStyleTransfer-Colorization-SuperResolution[0m[38;5;12m (https://github.com/ColorfulSoft/StyleTransfer-Colorization-SuperResolution) - Demonstration implementations of neural network image processing algorithms.[39m

[38;2;255;187;0m[4mLanguage-based colorization[0m

[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mSketchySceneColorization[0m[38;5;12m (https://github.com/SketchyScene/SketchySceneColorization) - Language-based Colorization of Scene Sketches. (SIGGRAPH Asia 2019) https://sketchyscene.github.io/SketchySceneColorization/[39m

[38;2;255;187;0m[4mImplementations / apps[0m

[38;2;255;187;0m[4miOS[0m

[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mColorizer iOS[0m[38;5;12m (https://github.com/alex011235/Colorizer-iOS) - Transform grayscale photos to color photos in iOS[39m

[38;2;255;187;0m[4m:books: Relevant knowledge, books and papers[0m

[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mAwesome-Image-Colorization[0m[38;5;12m (https://github.com/MarkMoHR/Awesome-Image-Colorization) - A collection of Deep Learning based Image Colorization and Video Colorization papers.[39m

[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mBuild a Photo Restoration App with Python[0m[38;5;12m (https://www.youtube.com/watch?v=xgQpalRRW3A) - YouTube tutorial from AssemblyAI on how to build a photo restoration app with Python and Flask.[39m

[38;2;255;187;0m[4m:dark_sunglasses: Related awesome lists[0m

[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mAwesome Machine Learning[0m[38;5;12m (https://github.com/josephmisiti/awesome-machine-learning) - A curated list of awesome Machine Learning frameworks, libraries and software.[39m
[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mAwesome Deep Learning[0m[38;5;12m (https://github.com/ChristosChristofidis/awesome-deep-learning) - A curated list of awesome Deep Learning tutorials, projects and communities.[39m
[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mAwesome Deep Vision[0m[38;5;12m (https://github.com/kjw0612/awesome-deep-vision) - A curated list of deep learning resources for computer vision.[39m
