This is an Image-Colorization project for astronomical images
-
Updated
Sep 16, 2019 - Python
This is an Image-Colorization project for astronomical images
Colorizing images by using deep neural networks.
Black-and-white landscape image colorization with Pytorch
Landscape and face image colorization with Generative Adversarial Networks (GANs)
Recolorizing grayscaled historical paintings and photos with Deep Learning using an Autoencoder CNN.
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.
A unified ML platform for Image Transformation (style transfer, image colorization, sketching and pixelating)
Implementación de mapeo de colores de escala RGB a una superficie en el espacio RGB normalizado
Implementation of Google's Inception ResNet v2 for the task of automatic colorization of gray-scale images in the CIELAB color space.
Khôi phục lại ảnh cũ sử dụng AI hoàn toàn miễn phí
The Flask-Python web app utilizes a pre-trained image colorization model based on Caffe. It allows users to upload black and white images and applies the colorization model to automatically generate colored versions. The app leverages the power of deep learning to provide an intuitive and interactive way to add color to grayscale images with ease.
This repo contain a desktop based application which aims to colorize faded, worn-out pictures.
Developed for the "Neural Networks and Deep Learning" course, this project utilizes PyTorch for GAN implementation.
Pytorch implementation of "Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens System (AAAI 2019)"
Unlock the visual realm with diverse image processing projects! From creative filters to deep learning colorization, explore the art of image manipulation.
Add a description, image, and links to the image-colorization topic page so that developers can more easily learn about it.
To associate your repository with the image-colorization topic, visit your repo's landing page and select "manage topics."