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Awesome Foreground Object Search Awesome

A curated list of resources including papers, datasets, and relevant links pertaining to foreground object search. Foreground object search (FOS) aims to retrieve the foreground objects from a candidate set which are compatible with the given background in terms of semantics, geometry, or lightness. For more complete resources on general image composition, please refer to Awesome-Image-Composition.

<p align='center'> <img src='./figures/task.jpg' width=70% /> </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 foreground object search 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]

Papers

Datasets

Other Resources