https://github.com/bcmi/Awesome-Foreground-Object-Search
A curated list of papers, code, and resources pertaining to foreground object search.
https://github.com/bcmi/Awesome-Foreground-Object-Search
List: Awesome-Foreground-Object-Search
foreground-object-search image-composition
Last synced: about 1 month ago
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A curated list of papers, code, and resources pertaining to foreground object search.
- Host: GitHub
- URL: https://github.com/bcmi/Awesome-Foreground-Object-Search
- Owner: bcmi
- Created: 2023-07-23T23:45:41.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-01-15T03:42:24.000Z (5 months ago)
- Last Synced: 2025-05-01T10:02:01.171Z (about 2 months ago)
- Topics: foreground-object-search, image-composition
- Homepage:
- Size: 258 KB
- Stars: 10
- Watchers: 5
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Awesome Foreground Object Search [](https://github.com/sindresorhus/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 ([object insertion](https://github.com/bcmi/Awesome-Object-Insertion)), please refer to [Awesome-Image-Composition](https://github.com/bcmi/Awesome-Object-Insertion).
## 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](#Survey)
+ [Papers](#Papers)
+ [Datasets](#Datasets)
+ [Other Resources](#Other-resources)
## 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]](https://arxiv.org/pdf/2106.14490.pdf) [[slides]](https://www.ustcnewly.com/download/Image_composition_tutorial.pdf)
## Papers
+ Bo Zhang, Jiacheng Sui, Li Niu: "*Foreground Object Search by Distilling Composite Image Feature.*" ICCV (2023) [[arXiv]](https://arxiv.org/pdf/2308.04990.pdf)[[dataset&code]](https://github.com/bcmi/Foreground-Object-Search-Dataset-FOSD)
+ Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen: "*GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing.*" ECCV (2022) [[arXiv]](https://arxiv.org/pdf/2204.00125.pdf)
+ Zongze Wu, Dani Lischinski, Eli Shechtman: "*Fine-grained Foreground Retrieval via Teacher-Student Learning.*" WACV (2021) [[pdf]](https://openaccess.thecvf.com/content/WACV2021/papers/Wu_Fine-Grained_Foreground_Retrieval_via_Teacher-Student_Learning_WACV_2021_paper.pdf)
+ Boren Li, Po-Yu Zhuang, Jian Gu, Mingyang Li, Ping Tan: "*Interpretable Foreground Object Search As Knowledge Distillation.*" ECCV (2020) [[arXiv]](https://arxiv.org/pdf/2007.09867.pdf)
+ Yinan Zhao, Brian Price, Scott Cohen, Danna Gurari: "*Unconstrained foreground object search.*" ICCV (2019) [[pdf]](https://openaccess.thecvf.com/content_ICCV_2019/papers/Zhao_Unconstrained_Foreground_Object_Search_ICCV_2019_paper.pdf)
+ Hengshuang Zhao, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Brian Price, Jiaya Jia: "*Compositing-aware image search.*" ECCV (2018) [[pdf]](https://openaccess.thecvf.com/content_ECCV_2018/papers/Hengshuang_Zhao_Compositing-aware_Image_Search_ECCV_2018_paper.pdf)
## Datasets
+ **FOSD**: It contains a Real Foreground Object Search Dataset (R-FOSD) and a Synthetic Foreground Object Search Dataset (S-FOSD). [[link]](https://github.com/bcmi/Foreground-Object-Search-Dataset-FOSD)
## Other Resources
+ [Awesome-Image-Composition](https://github.com/bcmi/Awesome-Object-Insertion)