Proposes a patch-based reflection intensity prior learned by RPEN and applied in PRRN transformer U-Net to achieve state-of-the-art single image reflection removal on real-world benchmarks.
Depth-guided camouflaged object detection
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BED-SAM2 enhances the SAM2 vision model by integrating monocular geometric priors to improve boundary delineation in object segmentation tasks.
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Single Image Reflection Removal with Patch Reflectance Prior
Proposes a patch-based reflection intensity prior learned by RPEN and applied in PRRN transformer U-Net to achieve state-of-the-art single image reflection removal on real-world benchmarks.