Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.

Video Colorization with Pre-trained Text-to-Image Diffusion Models

Automatic temporally coherent video colorization designed to work well on animated cartoons and demos. End-to-end GAN.

Easy to install image and video colorization using onnx converted deoldify model

Colorize your black and white images and YouTube videos for free. Streamlit application based on CNN deployed on Hugging Face.

Easy to install image colorization using onnx converted DDColor models

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.

Using Pix2Pix Conditional GAN architecture to colourize image using Places365 dataset and use that model to colourize video clips

ECCV16 and Siggraph17 onnx- converted colorizer

End-to-end automatic video colorization using a ResNet34-UNet architecture. Predicts CIE Lab chrominance (ab) channels from grayscale luminance (L), trained on MS-COCO 2017 and applied to historic black-and-white footage with EMA temporal smoothing.

An image/video colorization web application with authentication, user history and image editing posibilities

Colorizes black-and-white videos using deep learning techniques in a Jupyter notebook

An improved version of DDColor with enhanced performance and usability. This project extends the original framework with Apple Metal support, interactive web UI, video colorization capabilities, and cross-platform optimization.

Deep learning video colorization using MobileNetV2 U-Net, LAB color space, OpenCV, TensorFlow, and FFmpeg.

MVA - Final Project on video colorization - Introduction à l'imagerie numérique (Y.Gousseau, J.Delon)