Popular GitHub Repositories for Colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

Deep learning software for colorizing black and white images with a few clicks.

[ICCV 2023] DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders

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

Coloring black and white images with deep learning.

DeOldify for Stable Diffusion WebUI：This is an extension for StableDiffusion's AUTOMATIC1111 web-ui that allows colorize of old photos and old video. It is based on deoldify.

[ICLR 2025] Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration

PyTorch reimplementation of Interactive Deep Colorization

The official implementation of paper "ColorFlow: Retrieval-Augmented Image Sequence Colorization"

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

A Collection of Low Level Vision Research Groups

AI-Powered Photo Editor (Python, PyQt6, PyTorch)

[SIGGRAPH Asia 2019] Language-based Colorization of Scene Sketches

InsightSolver: Colab notebooks for exploring and solving operational issues using deep learning, machine learning, and related models.

This repository provides an interactive image colorization tool that leverages Stable Diffusion (SDXL) and BLIP for user-controlled color generation. With a retrained model using the ControlNet approach, users can upload images and specify colors for different objects, enhancing the colorization process through a user-friendly Gradio interface.

Deep learning based video sensing method for low-power IoT cameras (Smart glasses, GoPro, Blink etc.).

List of FOSS Deep Learning Applications with GUI and/or CLI

Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.