[ICCV 2023] DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders
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Updated
Oct 25, 2024 - Jupyter Notebook
[ICCV 2023] DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders
📚 A collection of Deep Learning based Image Colorization and Video Colorization papers.
PyTorch reimplementation of Interactive Deep Colorization
A Collection of Low Level Vision Research Groups
🎨 Automatic Image Colorization using TensorFlow based on Residual Encoder Network
In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).
[SIGGRAPH Asia 2019] Language-based Colorization of Scene Sketches
This repository provides an interactive image colorization tool that leverages Stable Diffusion (SDXL) and BLIP for user-controlled color generation. With a retrained model using the ControlNet approach, users can upload images and specify colors for different objects, enhancing the colorization process through a user-friendly Gradio interface.
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.
Image colorization using CNNs in tensorflow
Improved Diffusion-based Image Colorization via Piggybacked Models
A curated list of awesome AI-powered image coloring frameworks, libraries and software.
This repository is for "Image Colorization: A Survey and Dataset" paper
A from-scratch PyTorch implementation of "Colorful Image Colorization" by Zhang et al.
Official Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]
Demonstration implementations of neural network image processing algorithms
🖌️ Automatic Image Colorization with Simultaneous Classification – based on "Let there be Color!"
Image and video colorizer is package for automatic image and video colorization. Models are allready trained
Speech bubble aware automatic comic colorization using CNN
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