Grayscale image colorization using a U-Net CNN (with VGG-19) and perceptual loss.
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Updated
Jun 11, 2024 - Python
Grayscale image colorization using a U-Net CNN (with VGG-19) and perceptual loss.
Simple Python package for colorized terminal output
Colorization using ab channel averaging during training.
Simple, yet powerful tool to colorize terminal output
Multimedia&Lab lecture Hint based Image Colorization Challenge from Prof. Yong Ju Jung in Gachon Univ
PyTorch implementation of a modified cascaded refinement network for the colorization of grayscale images
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.
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.
🎨 command line output utils for Python to draw boxes, colors, etc
This python program is based on other projects I have created to colourize a black and white video
6 Color Transfer / Mismatch Correction methods in Python including [arXiv:2303.06657] “Color Mismatches in Stereoscopic Video: Real-World Dataset and Deep Correction Method,” 2024
Convolutional Neural Network for Colorization of Images w/ PyTorch
Exploration into techniques for colorizing images with deep neural networks
🖌 Text formatting using Minecraft color codes.
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