165 lines
7.4 KiB
HTML
165 lines
7.4 KiB
HTML
<h1 id="awesome-software-for-image-coloring-awesome">Awesome Software
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for Image Coloring <a
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href="https://github.com/sindresorhus/awesome"><img
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src="https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg"
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alt="Awesome" /></a></h1>
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<p>A curated list of awesome AI-powered image coloring frameworks,
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libraries and software. Inspired by
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<code>josephmisiti/awesome-machine-learning</code>. It’s a good idea to
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explore the GitHub topic as well - <a
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href="https://github.com/topics/image-colorization">Topic “Image
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colorization”</a>. In comparison to the awesome list
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<code>MarkMoHR/Awesome-Image-Colorization</code> (which focuses on
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research papers), I focus on practical open-source software.</p>
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<h2 id="considerations">Considerations</h2>
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<p>Most of the software runs in <code>Python</code>, and requires some
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kind of an AI frameworks (e.g. <code>Tensorflow</code>) - which means
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you may need a GPU with a configured <code>CUDA</code> toolkit to run it
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in a reasonable time.</p>
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<h2 id="frameworks-and-libraries">Frameworks and libraries</h2>
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<h3 id="snake-python">:snake: Python</h3>
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<h4 id="tensorflow">Tensorflow</h4>
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<ul>
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<li><a
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href="https://github.com/Armour/Automatic-Image-Colorization">Automatic
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Image Colorization</a> - Automatic Image Colorization using TensorFlow
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based on Residual Encoder Network http://tinyclouds.org/colorize/</li>
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<li><a href="https://github.com/shekkizh/Colorization.tensorflow">Image
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Colorization using Convolutional Networks</a> - Image colorization using
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CNNs in tensorflow.</li>
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<li><a href="https://github.com/PrimozGodec/ImageColorization">Image and
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video colorizer</a> - Image and video colorizer is package for automatic
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image and video colorization. Models are already trained.</li>
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<li><a href="https://github.com/ameroyer/PIC">PIC - Probabilistic Image
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Colorization</a> - Probabilistic Image Colorization
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https://arxiv.org/abs/1705.04258</li>
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<li><a href="https://github.com/AbdelrahmanRadwan/photo-coloring">Photo
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Coloring Using End2end CNN based Model!</a> - A Deep Learning based
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coloring tool, which can color a black-white or gray picture.</li>
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</ul>
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<h4 id="tensorflow-with-gans">Tensorflow with GANs</h4>
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<ul>
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<li><a href="https://github.com/ImagingLab/Colorizing-with-GANs">Image
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Colorization with Generative Adversarial Networks</a> - Grayscale Image
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Colorization with Generative Adversarial Networks.
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https://arxiv.org/abs/1803.05400</li>
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<li><a
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href="https://github.com/ArkaJU/Image-Colorization-CycleGAN">Image-colorization-using-CycleGAN</a>
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- Colorization of grayscale images using CycleGAN in TensorFlow.</li>
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</ul>
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<h4 id="keras">Keras</h4>
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<ul>
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<li><a
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href="https://github.com/emilwallner/Coloring-greyscale-images">Coloring
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Black and White photos with Neural Networks</a> - Coloring black and
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white images with deep learning.</li>
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<li><a
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href="https://github.com/JadeBlue96/Image-Colorization-of-Historical-Paintings">JadeBlue96</a>
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- Recolorizing grayscaled historical paintings and photos with Deep
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Learning using an Autoencoder CNN.</li>
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<li><a
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href="https://github.com/aman-chauhan/Image-Coloring">Image-Coloring</a>
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- Deep Neural Net for coloring grayscale images using local and global
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image features</li>
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<li><a
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href="https://github.com/thevarunsharma/Image-Colorization">Image-Colorization</a>
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- Automatic Image Colorization using a Convolutional Network
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(U-Net)</li>
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</ul>
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<h4 id="fast.ai">Fast.AI</h4>
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<ul>
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<li><a href="https://github.com/jantic/DeOldify">DeOldify</a> - A Deep
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Learning based project for colorizing and restoring old images.</li>
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</ul>
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<h4 id="caffee">Caffee</h4>
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<ul>
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<li><a href="https://github.com/richzhang/colorization">Colorful Image
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Colorization</a> - Automatic colorization using deep neural networks.
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“Colorful Image Colorization.” In ECCV, 2016.
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http://richzhang.github.io/colorization/</li>
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<li><a
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href="https://github.com/junyanz/interactive-deep-colorization">Interactive
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Deep Colorization</a> - Deep learning software for colorizing black and
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white images with a few clicks.
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https://richzhang.github.io/ideepcolor/</li>
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</ul>
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<h4 id="pytorch">PyTorch</h4>
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<ul>
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<li><a
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href="https://github.com/richzhang/colorization-pytorch">Interactive
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Deep Colorization in PyTorch</a> - PyTorch reimplementation of
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Interactive Deep Colorization
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https://richzhang.github.io/ideepcolor/</li>
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<li><a href="https://github.com/kainoj/colnet">Automatic Image
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Colorization</a> - Automatic Image Colorization with Simultaneous
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Classification – based on “Let there be Color!”.</li>
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<li><a href="https://github.com/karoly-hars/GAN_image_colorizing">Image
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colorization with GANs</a> - Image colorization with generative
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adversarial networks on the CIFAR10 dataset.</li>
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<li><a
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href="https://github.com/Time0o/pytorch-colorful-colorization">Colorful
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Image Colorization PyTorch</a> - A from-scratch PyTorch implementation
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of “Colorful Image Colorization” by Zhang et al. created for the Deep
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Learning in Data Science course at KTH Stockholm.</li>
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<li><a href="https://github.com/Epiphqny/Colorization">Colorful Image
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Colorization</a> - Pytorch implementation of the paper Colorful Image
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Colorization https://arxiv.org/abs/1603.08511</li>
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<li><a
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href="https://github.com/done1892/Square-Images-Colorization">Square-Images-Colorization</a>
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- Colorization algorithms for images depicting cities squares</li>
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</ul>
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<h3 id="c">C++</h3>
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<ul>
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<li><a
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href="https://github.com/saulo-p/Exemplar-Image-Colorization">Beyond
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Landscapes: An Exemplar-based Image colorization method</a> -
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Exemplar-based Image Colorization method based on superpixel
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segmentation and classification.</li>
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</ul>
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<h3 id="c-1">C</h3>
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<ul>
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<li><a
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href="https://github.com/ColorfulSoft/StyleTransfer-Colorization-SuperResolution">StyleTransfer-Colorization-SuperResolution</a>
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- Demonstration implementations of neural network image processing
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algorithms.</li>
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</ul>
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<h2 id="language-based-colorization">Language-based colorization</h2>
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<ul>
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<li><a
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href="https://github.com/SketchyScene/SketchySceneColorization">SketchySceneColorization</a>
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- Language-based Colorization of Scene Sketches. (SIGGRAPH Asia 2019)
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https://sketchyscene.github.io/SketchySceneColorization/</li>
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</ul>
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<h2 id="implementations-apps">Implementations / apps</h2>
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<h3 id="ios">iOS</h3>
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<ul>
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<li><a href="https://github.com/alex011235/Colorizer-iOS">Colorizer
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iOS</a> - Transform grayscale photos to color photos in iOS</li>
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</ul>
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<h2 id="books-relevant-knowledge-books-and-papers">:books: Relevant
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knowledge, books and papers</h2>
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<ul>
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<li><p><a
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href="https://github.com/MarkMoHR/Awesome-Image-Colorization">Awesome-Image-Colorization</a>
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- A collection of Deep Learning based Image Colorization and Video
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Colorization papers.</p></li>
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<li><p><a href="https://www.youtube.com/watch?v=xgQpalRRW3A">Build a
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Photo Restoration App with Python</a> - YouTube tutorial from AssemblyAI
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on how to build a photo restoration app with Python and Flask.</p></li>
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</ul>
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<h2 id="dark_sunglasses-related-awesome-lists">:dark_sunglasses: Related
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awesome lists</h2>
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<ul>
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<li><a
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href="https://github.com/josephmisiti/awesome-machine-learning">Awesome
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Machine Learning</a> - A curated list of awesome Machine Learning
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frameworks, libraries and software.</li>
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<li><a
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href="https://github.com/ChristosChristofidis/awesome-deep-learning">Awesome
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Deep Learning</a> - A curated list of awesome Deep Learning tutorials,
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projects and communities.</li>
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<li><a href="https://github.com/kjw0612/awesome-deep-vision">Awesome
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Deep Vision</a> - A curated list of deep learning resources for computer
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vision.</li>
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</ul>
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