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
2023年份
摘要
Figure 1 . We present a pipeline that enables the automatic segmentation of distractors in photos using a single click. With just one click, our pipeline can detect and mask the distracting object in the photo and identify other similar objects that may also be causing distraction. We can then use popular photo editing tools such as Adobe Photoshop's 'Content-Aware Fill' to remove the visual distractions seamlessly. Each triad shows the input images with a click, segmentation results, and photo editing performance.
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它引用的顶会 Paper11
- FCOS: Fully Convolutional One-Stage Object DetectionZhi Tian, Chunhua Shen, Hao Chen, Tong HeICCV 2019 · 被引用 6,042 次
- FocalClick: Towards Practical Interactive Image SegmentationXi Chen, Zhiyan Zhao, Yilei Zhang, Manni Duan 等CVPR 2022 · 被引用 153 次
- Conditional Diffusion for Interactive SegmentationXi Chen, Zhiyan Zhao, Feiwu Yu, Yilei Zhang 等ICCV 2021 · 被引用 100 次
- Deep Saliency Prior for Reducing Visual DistractionKfir Aberman, Junfeng He, Yossi Gandelsman, Inbar Mosseri 等CVPR 2022 · 被引用 20 次
- Masked-attention Mask Transformer for Universal Image SegmentationBowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov 等CVPR 2022
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