This is an Image-Colorization project for astronomical images
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Updated
Sep 16, 2019 - Python
This is an Image-Colorization project for astronomical images
Black-and-white landscape image colorization with Pytorch
Landscape and face image colorization with Generative Adversarial Networks (GANs)
Image colorization with a Multivariate Bernoulli Mixture Density network.
Semester III and IV project
image colorization software for colorizing black and white images using AI.
PyTorch implementation of a convolutional deep neural network to colorize grayscale images. Includes sample dataset and code for training, inference, and color temperature control.
This repo contain a desktop based application which aims to colorize faded, worn-out pictures.
Pytorch implementation of "Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens System (AAAI 2019)"
This project is an unofficial Pytorch implementation of the paper 'Reference-guided structure-aware deep sketch colorization for cartoons'
Deep Neural Net for coloring grayscale images using local and global image features
[Done] All of project and assignment in **Computer Vision** class, Gachon Univ. Spring 2022
Image Colorization with Connected-component Labeling, Component Neighbors, and Graph Coloring Algorithms.
This app uses a pre-trained deep learning model to bring grayscale images to life !
This repository contains Python scripts for preparing and augmenting the COCO 2017 dataset for image colorization tasks.
This Repository contains a python file that converts black and white images to color images. However it is trained on a huge dataset. Still it Performs well and good.
PyTorch implementation of Conditional Generative Adversarial Networks (cGAN) for image colorization of the MS COCO dataset
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