DeepHarmonization
Image harmonizer
Reimplements a deep learning model to harmonize images from different illumination conditions
Demo code of the paper: "Deep Image Harmonization", Y.-H. Tsai, X. Shen, Z. Lin, K. Sunkavalli, X. Lu and M.-H. Yang, CVPR 2017
150 stars
5 watching
33 forks
Language: Python
last commit: almost 6 years ago computational-photographycomputer-visiondeep-learningencoder-decoderimage-editing
Related projects:
| Repository | Description | Stars |
|---|---|---|
| wasidennis/adaptsegnet | This project implements a deep learning-based approach to adapt semantic segmentation models from one domain to another. | 851 |
 nvidia/dataset_synthesizer | Generates synthetic images and associated data for training deep learning models | 574 |
 zhengpeng7/birefnet | An open-source implementation of an image segmentation model that combines background removal and object detection capabilities. | 1,484 |
 warrengreen/srcnn | Software for enhancing satellite images through deep learning techniques | 76 |
 thevarunsharma/image-colorization | Automates the process of assigning colors to grayscale images using a deep learning model | 11 |
 cszn/ircnn | This project trains deep CNN denoisers to improve image restoration tasks such as deblurring and demosaicking through model-based optimization methods. | 602 |
 reinhardh/supplement_deep_decoder | This repository provides code for an image generating deep neural network designed to produce concise representations of images from few parameters. | 96 |
 karoly-hars/gan_image_colorizing | This project explores image colorization using generative adversarial networks on the CIFAR10 dataset. | 11 |
 keunwoochoi/auralisation | Reconstructs audio features learned by convolutional neural networks into audible sounds | 42 |
 thelegendali/deeplab-context | An implementation of a deep learning system for semantic image segmentation using a combination of convolutional neural networks and conditional random fields. | 239 |
 kgeorgiev42/image-colorization-of-historical-paintings | Automates colorization of historical grayscale images using Deep Learning and CNNs. | 3 |
 deepmed-lab-ecnu/deeprft-aaai2023 | An image deblurring technique based on frequency selection using machine learning models | 18 |
 atiyo/deep_image_prior | Reconstructs images using untrained neural networks to manipulate and transform existing images | 216 |
 ameroyer/pic | A probabilistic deep learning model for generating diverse and vibrant colorizations of grayscale images | 20 |
 bonlime/keras-deeplab-v3-plus | An implementation of Deeplabv3+ in Keras with pretrained weights and customization options for semantic image segmentation. | 1,360 |