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Found 3 papers, 2 papers with code
Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal
Segment Anything (SAM), an advanced universal image segmentation model trained on an expansive visual dataset, has set a new benchmark in image segmentation and computer vision.
Memory augment is All You Need for image restoration
Image restoration is a low-level vision task, most CNN methods are designed as a black box, lacking transparency and internal aesthetics.
SpA-Former: Transformer image shadow detection and removal via spatial attention
In this paper, we propose an end-to-end SpA-Former to recover a shadow-free image from a single shaded image.
Ranked #5 on
Shadow Removal
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