Simple Python package for colorized terminal output

Grayscale image colorization using a U-Net CNN (with VGG-19) and perceptual loss.

Colorization using ab channel averaging during training.

PyTorch implementation of a modified cascaded refinement network for the colorization of grayscale images

Simple, yet powerful tool to colorize terminal output

Multimedia&Lab lecture Hint based Image Colorization Challenge from Prof. Yong Ju Jung in Gachon Univ

Image colorizer built with machine learning

Comprehensive AI-powered solution for manga and comic translation and colorization. Utilizes PaddleOCR, DeepL API, LAMA-based text removal, and ResNeXt-based colorization for high accuracy and quality.

Colorizing grayscale images with python and deep learning.

Image Colorization is a service to colorize the gray scale images using Generative AI.

Using deep learning model to colourise B&W photos

Colorizing black/white images and videos using a pre-trained model, aims to enhance visual quality of historical content

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

A DL-based super-resolution and colorization tool built with PyTorch.

This project implements automatic black-and-white image colorization using deep learning models. The models used are: ECCV16: "Colorful Image Colorization" SIGGRAPH17: "Real-Time User-Guided Image Colorization"

Sistema de cores.

Convolutional Neural Network for Colorization of Images w/ PyTorch

modern ANSII Color formatting for output in terminal

Unofficial implementation of "The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation"

Colorful Bias is a longitudinal benchmarking of algorithmic colorization of images containing human skin tones.