Colorization
Leaderboards
Greatest papers with code
Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN
Recently, with the revolutionary neural style transferring methods, creditable paintings can be synthesized automatically from content images and style images.
Colorful Image Colorization
We embrace the underlying uncertainty of the problem by posing it as a classification task and use class-rebalancing at training time to increase the diversity of colors in the result.
Real-Time User-Guided Image Colorization with Learned Deep Priors
• junyanz/interactive-deep-colorization
• 
The system directly maps a grayscale image, along with sparse, local user "hints" to an output colorization with a Convolutional Neural Network (CNN).
Deep Exemplar-based Colorization
• msracver/Deep-Exemplar-based-Colorization
•
More importantly, as opposed to other learning-based colorization methods, our network allows the user to achieve customizable results by simply feeding different references.
Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
• baldassarreFe/deep-koalarization
• 
We review some of the most recent approaches to colorize gray-scale images using deep learning methods.
Learning Representations for Automatic Colorization
This intermediate output can be used to automatically generate a color image, or further manipulated prior to image formation.
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss
ICCV 2019
• blandocs/Tag2Pix
•
A GAN approach is proposed, called Tag2Pix, of line art colorization which takes as input a grayscale line art and color tag information and produces a quality colored image.
Image Colorization with Generative Adversarial Networks
• ImagingLab/Colorizing-with-GANs
•
Over the last decade, the process of automatic image colorization has been of significant interest for several application areas including restoration of aged or degraded images.
Guided Image Generation with Conditional Invertible Neural Networks
• VLL-HD/FrEIA
•
We demonstrate these properties for the tasks of MNIST digit generation and image colorization.
Comicolorization: Semi-Automatic Manga Colorization
By feeding the color features to our deep colorization network, we accomplish colorization of the entire manga using the desired colors for each panel.