grayscale-to-color

Colorize black-and-white (grayscale) photos using a pre-trained deep learning model in OpenCV's DNN module.

Colorize black-and-white photos and videos with deep learning. A Python desktop app (Tkinter GUI) that uses OpenCV's DNN module and a pretrained Caffe CNN to add realistic color to grayscale media - great for photo restoration and reviving historical images.

Text-guided probabilistic image colorization with cross-attention conditioning, chroma-aware loss, and mixture density decoding.

Neural network that colorises grayscale images

AI-driven object-aware image colorization system that restores grayscale images with realistic, context-sensitive color mapping.

A project aimed at colorizing grayscale images using AI/deep learning techniques. It’s likely designed to transform black-and-white or Synthetic Aperture Radar (SAR) grayscale imagery into colorized versions to improve visual interpretability — a common deep learning task where models learn to predict realistic colors for grayscale inputs.