Re-Implementation for Deep Line Art Video Colorization with a Few References
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Updated
Apr 25, 2021 - Python
Re-Implementation for Deep Line Art Video Colorization with a Few References
Colorization using ab channel averaging during training.
Simple Python package for colorized terminal output
Grayscale image colorization using a U-Net CNN (with VGG-19) and perceptual loss.
This is the implementation of the "Comicolorization: Semi-automatic Manga Colorization"
🎨 Automatic Image Colorization using TensorFlow based on Residual Encoder Network
U-Net Model conditioned with MobileNet features for Grayscale -> Color mapping
Add text color highlights, load bars, progress displays and style to your python scripts and shell sessions
Automatic grayscale image colorization using deep learning.
A DL-based super-resolution and colorization tool built with PyTorch.
Exploration into techniques for colorizing images with deep neural networks
6 Color Transfer / Mismatch Correction methods in Python including [arXiv:2303.06657] “Color Mismatches in Stereoscopic Video: Real-World Dataset and Deep Correction Method,” 2023
Convolutional Neural Network for Colorization of Images w/ PyTorch
🎨 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
modern ANSII Color formatting for output in terminal
Final version of the CNN project. Works with balloon, cat, cars and human faces.
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