UNet model to colorize black & white images
A Deep Learning based Vapoursynth filter for colorizing and restoring old images and video, based on DeOldify, DDColor, ColorMNet and DeepRemaster.
A PyTorch implementation of a Variational Autoencoder (VAE) with a U-Net architecture, self-attention, and perceptual loss to colorize grayscale images of birds.
Automatic image colorization using Conditional GANs (ResNet-UNet + PatchGAN) trained on Tiny ImageNet.
An image/video colorization web application with authentication, user history and image editing posibilities
Image Colorization is a service to colorize the gray scale images using Generative AI.
This is a Gray-Scale Image Colorizer that is based on a modified Pix2Pix structure
The smAIrtColorizer project is an advanced image and video colorization tool that leverages deep learning to transform historical grayscale media into vibrant, colorized outputs.
This is code to change the color of an image through Python, where you can specify the range of RGB pixels and indicate how much you want to increase or replace a particular value, ranging from 0 to 255.
PyTorch model which colorizes GrayScale images using ecvv16 and siggraph
Deep learning model for image colorization using U-Net++ with LAB color space input.
[SIGGRAPH 2025] Official code of the paper "Cobra: Efficient Line Art COlorization with BRoAder References". Cobra：利用更广泛参考图实现高效线稿上色
The official implementation of paper "ColorFlow: Retrieval-Augmented Image Sequence Colorization". ColorFlow：基于检索增强的图像序列上色
A PyTorch-based GAN model for colorizing grayscale SAR (Synthetic Aperture Radar) images. Utilizes a convolutional Generator and Discriminator in an adversarial setup to produce realistic color outputs.
[ICCV 2023] DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders
Let us control diffusion models for colorization!
Image colorization method associated to the article Deep image prior regularized by coupled total variation for image colorization.
PyTorch implementation of a convolutional deep neural network to colorize grayscale images. Includes sample dataset and code for training, inference, and color temperature control.
Converts black and white image to colour image using pre-trained models and OpenCV
Deep learning-based application to colorize grayscale images using a CNN, with a Flask-based web interface
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