Papers › Single Image Reflection Separation via Component Synergy
Single Image Reflection Separation via Component Synergy
Qiming Hu, Xiaojie Guo
The reflection superposition phenomenon is complex and widely distributed in the real world, which derives various simplified linear and nonlinear formulations of the problem. In this paper, based on the investigation of the weaknesses of existing models, we propose a more general form of the superposition model by introducing a learnable residue term, which can effectively capture residual information during decomposition, guiding the separated layers to be complete. In order to fully capitalize on its advantages, we further design the network structure elaborately, including a novel dual-stream interaction mechanism and a powerful decomposition network with a semantic pyramid encoder. Extensive experiments and ablation studies are conducted to verify our superiority over state-of-the-art approaches on multiple real-world benchmark datasets. Our code is publicly available at https://github.com/mingcv/DSRNet.
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Code
Syntology Ran 15 of 19 code samples harvested from 1 repository linked to this paper; 4 have no recorded run. Of those that ran: 1 ran · honoured contract; 14 ran with no contract checked.
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Code Syntology ran Syntology
19 samples harvested; 15 ran; 1 honoured the contract we drafted; 4 have no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Reflection Removal | Real20 | DSRNet | PSNR | 24.23 | #3 of 8 | Archive leaderboard | report |
| Reflection Removal | Real20 | DSRNet | SSIM | 0.82 | #3 of 8 | Archive leaderboard | report |
| Reflection Removal | SIR^2(Objects) | DSRNet | PSNR | 26.28 | #3 of 7 | Archive leaderboard | report |
| Reflection Removal | SIR^2(Objects) | DSRNet | SSIM | 0.914 | #3 of 7 | Archive leaderboard | report |
| Reflection Removal | SIR^2(Postcard) | DSRNet | PSNR | 24.56 | #3 of 6 | Archive leaderboard | report |
| Reflection Removal | SIR^2(Postcard) | DSRNet | SSIM | 0.908 | #3 of 6 | Archive leaderboard | report |
| Reflection Removal | SIR^2(Wild) | DSRNet | PSNR | 25.68 | #3 of 6 | Archive leaderboard | report |
| Reflection Removal | SIR^2(Wild) | DSRNet | SSIM | 0.896 | #3 of 6 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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