79 papers with code • 0 benchmarks • 3 datasets

Colorization is the process of adding plausible color information to monochrome photographs or videos. Colorization is a highly undetermined problem, requiring mapping a real-valued luminance image to a three-dimensional color-valued one, that has not a unique solution.

Source: ChromaGAN: An Adversarial Approach for Picture Colorization

Greatest papers with code

Colorization Transformer

google-research/google-research ICLR 2021

We present the Colorization Transformer, a novel approach for diverse high fidelity image colorization based on self-attention.


Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN

lllyasviel/style2paints 11 Jun 2017

Recently, with the revolutionary neural style transferring methods, creditable paintings can be synthesized automatically from content images and style images.

Colorization Style Transfer

Colorful Image Colorization

richzhang/colorization 28 Mar 2016

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.

Colorization Self-Supervised Image Classification

Real-Time User-Guided Image Colorization with Learned Deep Priors

junyanz/interactive-deep-colorization 8 May 2017

The system directly maps a grayscale image, along with sparse, local user "hints" to an output colorization with a Convolutional Neural Network (CNN).


GIMP-ML: Python Plugins for using Computer Vision Models in GIMP

kritiksoman/GIMP-ML 27 Apr 2020

Apart from these, several image manipulation techniques using these plugins have been compiled and demonstrated in the YouTube channel (https://youtube. com/user/kritiksoman) with the objective of demonstrating the use-cases for machine learning based image modification.

Colorization Deblurring +8

Instance-aware Image Colorization

ericsujw/InstColorization CVPR 2020

Previous methods leverage the deep neural network to map input grayscale images to plausible color outputs directly.


Deep Exemplar-based Colorization

msracver/Deep-Exemplar-based-Colorization 17 Jul 2018

More importantly, as opposed to other learning-based colorization methods, our network allows the user to achieve customizable results by simply feeding different references.

Colorization Image Retrieval

Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2

baldassarreFe/deep-koalarization 9 Dec 2017

We review some of the most recent approaches to colorize gray-scale images using deep learning methods.


Guided Image Generation with Conditional Invertible Neural Networks

VLL-HD/FrEIA 4 Jul 2019

We demonstrate these properties for the tasks of MNIST digit generation and image colorization.

Colorization Image Generation

Score-Based Generative Modeling through Stochastic Differential Equations

yang-song/score_sde ICLR 2021

Combined with multiple architectural improvements, we achieve record-breaking performance for unconditional image generation on CIFAR-10 with an Inception score of 9. 89 and FID of 2. 20, a competitive likelihood of 2. 99 bits/dim, and demonstrate high fidelity generation of 1024 x 1024 images for the first time from a score-based generative model.

Colorization Image Inpainting