SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object
  Segmentation Network
Chuong Huynh Yuqian Zhou Zhe Lin Connelly Barnes Eli Shechtman Sohrab Amirghodsi Abhinav Shrivastava
In photo editing, it is common practice to remove visual distractions to
improve the overall image quality and highlight the primary subject. However,
manually selecting and removing these small and dense distracting regions can
be a laborious and time-consuming task. In this paper, we propose an
interactive distractor selection method that is optimized to achieve the task
with just a single click. Our method surpasses the precision and recall
achieved by the traditional method of running panoptic segmentation and then
selecting the segments containing the clicks. We also showcase how a
transformer-based module can be used to identify more distracting regions
similar to the user's click position. Our experiments demonstrate that the
model can effectively and accurately segment unknown distracting objects
interactively and in groups. By significantly simplifying the photo cleaning
and retouching process, our proposed model provides inspiration for exploring
rare object segmentation and group selection with a single click.