🌈 Extra colorization and configuration loading for Click.

A Deep Learning based project for colorizing and restoring old images (and video!)

Automatic colorization of the grayscale images

📚 A collection of Deep Learning based Image Colorization and Video Colorization papers.

Colourmap generates an unique lit of RGB and HEX colors for the specified input list

This project aims to provide a comprehensive solution for image and video colorization using deep learning techniques. By leveraging convolutional neural networks (CNNs) and modern web technologies, the project enables users to easily add color to grayscale images and videos.

6 Color Transfer / Mismatch Correction methods in Python including [arXiv:2303.06657] “Color Mismatches in Stereoscopic Video: Real-World Dataset and Deep Correction Method,” 2023

[Forked] Official Implementation of "Learning Inclusion Matching for Animation Paint Bucket Colorization"

This repository contains the implementation and results of our research project that extends the dual decoder architecture from the "DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders" paper. We explore the versatility of this model by applying it to diverse tasks, including historical film restoration and artistic stylized color

public library for all internal software

A Deep Learning based Vaoursynth filter for colorizing and restoring old images and video, based on DeOldify and DDColor

Golang terminal escape utilities, including color, font style and output erase.

Docker aliases for shells, with colorized output and fuzzy completions for many commands

PyTorch implementation of "Deep Equilibrium Diffusion Restoration with Parallel Sampling (CVPR 2024)"

An extension for Markdig that adds syntax highlighting to code through the power of ColorCode-Universal.

Bring mangas to life!

Simple Python package for colorized terminal output

Official PyTorch implementation of "iColoriT: Towards Propagating Local Hint to the Right Region in Interactive Colorization by Leveraging Vision Transformer." (WACV 2023)

Computer Vision Vorlesung Final Project WS23/24 - University of Heidelberg

Colorizes grayscale images using a loaded model and displays original and predicted colorized versions.