@inproceedings{810,
  author = {Sai Prakya and Madamanchi Sainath},
  title = {Photobombing Removal Benchmarking},
  abstract = {Photobombing occurs very often in photography. This causes inconvenience to the main person(s) in the photos. Therefore, there is a legitimate need to remove the photobombing from taken images to produce a pleasing image. In this paper, the aim is to conduct a benchmark on this aforementioned problem. To this end, we first collect a dataset of images with undesired and distracting elements which requires the removal of photobombing. Then, we annotate the photobombed regions which should be removed. Next, different image inpainting methods are leveraged to remove the photobombed regions and reconstruct the image. We further invited professional photoshoppers to remove the unwanted regions. These photoshopped images are considered as the groundtruth. In our benchmark, several performance metrics are leveraged to compare the results of different methods with the groundtruth. The experiments provide insightful results which demonstrate the effectiveness of inpainting methods in this particular problem.},
  year = {2022},
  journal = {ISVC 2022},
  chapter = {55},
  pages = {12},
  month = {12},
  url = {https://par.nsf.gov/biblio/10428262},
  doi = {10.1007/978-3-031-20716-7_5},
}