55 citations · 81 across the 7 of their papers we have counts for
Showing 2023Show all
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cs.CV2023★ 10 cited
Enlighten Anything: When Segment Anything Model Meets Low-Light Image Enhancement
Qihan Zhao, Xiaofeng Zhang, Hao Tang +2
Image restoration is a low-level visual task, and most CNN methods are designed as black boxes, lacking transparency and intrinsic aesthetics. Many unsupervised approaches ignore t…
cs.CV2023★ 4 cited
SAM-helps-Shadow:When Segment Anything Model meet shadow removal
Xiaofeng Zhang, Chaochen Gu, Shanying Zhu
The challenges surrounding the application of image shadow removal to real-world images and not just constrained datasets like ISTD/SRD have highlighted an urgent need for zero-sho…