15 citations · 33 across the 6 of their papers we have counts for
6 papers
Enlighten-Your-Voice: When Multimodal Meets Zero-shot Low-light Image Enhancement
Xiaofeng Zhang, Zishan Xu, Hao Tang +4
Low-light image enhancement is a crucial visual task, and many unsupervised methods tend to overlook the degradation of visible information in low-light scenes, which adversely aff…
A Dual Attentive Generative Adversarial Network for Remote Sensing Image Change Detection
Luyi Qiu, Xiaofeng Zhang, ChaoChen Gu +1
Remote sensing change detection between bi-temporal images receives growing concentration from researchers. However, comparing two bi-temporal images for detecting changes is chall…
Memory augment is All You Need for image restoration
Xiao Feng Zhang, Chao Chen Gu, Shan Ying Zhu
Image restoration is a low-level vision task, most CNN methods are designed as a black box, lacking transparency and internal aesthetics. Although some methods combining traditiona…
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…
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…
SpA-Former: Transformer image shadow detection and removal via spatial attention
Xiao Feng Zhang, Chao Chen Gu, Shan Ying Zhu
In this paper, we propose an end-to-end SpA-Former to recover a shadow-free image from a single shaded image. Unlike traditional methods that require two steps for shadow detection…