Colorization

154 papers with code • 2 benchmarks • 7 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

Libraries

Use these libraries to find Colorization models and implementations

Most implemented papers

Palette: Image-to-Image Diffusion Models

Janspiry/Palette-Image-to-Image-Diffusion-Models 10 Nov 2021

We expect this standardized evaluation protocol to play a role in advancing image-to-image translation research.

Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud

dmcv-ecnu/MindSpore_ModelZoo AAAI 2021

Firstly, we construct a pretext task, \textit{i. e.,} point cloud colorization, with a self-supervised learning to transfer the learned prior knowledge from a large amount of unlabeled point cloud to a weakly supervised network.

Learning Representations for Automatic Colorization

gustavla/autocolorize 22 Mar 2016

This intermediate output can be used to automatically generate a color image, or further manipulated prior to image formation.

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).

Automatic Temporally Coherent Video Colorization

Harry-Thasarathan/TCVC 21 Apr 2019

This paper proposes a method to colorize line art frames in an adversarial setting, to create temporally coherent video of large anime by improving existing image to image translation methods.

ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution

pvitoria/ChromaGAN 23 Jul 2019

In this paper, we propose an adversarial learning colorization approach coupled with semantic information.

Color2Embed: Fast Exemplar-Based Image Colorization using Color Embeddings

zhaohengyuan1/Color2Style 15 Jun 2021

In this paper, we present a fast exemplar-based image colorization approach using color embeddings named Color2Embed.

Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

wyhuai/ddnm 1 Dec 2022

Most existing Image Restoration (IR) models are task-specific, which can not be generalized to different degradation operators.