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Awesome Image Harmonization Awesome

A curated list of resources including papers, datasets, and relevant links pertaining to image harmonization. Image harmonization aims to adjust the color, illumination, and style of foreground to be compatible with the background. For more complete resources on general image composition, please refer to Awesome-Image-Composition.

<p align='center'> <img src='./figures/task2.jpg' width=90% /> </p>

Contributing

Contributions are welcome. If you wish to contribute, feel free to send a pull request. If you have suggestions for new sections to be included, please raise an issue and discuss before sending a pull request.

Table of Contents

Survey

A brief review on image harmonization is included in the following survey on image composition:

Li Niu, Wenyan Cong, Liu Liu, Yan Hong, Bo Zhang, Jing Liang, Liqing Zhang: "Making Images Real Again: A Comprehensive Survey on Deep Image Composition." arXiv preprint arXiv:2106.14490 (2021). [arXiv] [slides]

Online Demo

Try this online demo for image harmonization and have fun! hot

Leaderboard

The leaderboard of SOTA image harmonization methods can be found here.

Color Transfer

We summarize different color transfer strategies which could be used for image harmonization task here.

Papers

Supervised deep learning methods

Unsupervised deep learning methods

Traditional methods

Datasets

Related Topics

Painterly/Style image harmonization

Inharmonious region localization

Video harmonization

Other Resources