14 citations · 17 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 3 cited
CANet: A Context-Aware Network for Shadow Removal
Zipei Chen, Chengjiang Long, Ling Zhang +1
In this paper, we propose a novel two-stage context-aware network named CANet for shadow removal, in which the contextual information from non-shadow regions is transferred to shad…
eess.IV2019★ 14 cited
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal
Ling Zhang, Chengjiang Long, Xiaolong Zhang +1
Residual images and illumination estimation have been proved very helpful in image enhancement. In this paper, we propose a general and novel framework RIS-GAN which explores resid…
cs.CV2019
ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal
Bin Ding, Chengjiang Long, Ling Zhang +1
In this paper we propose an attentive recurrent generative adversarial network (ARGAN) to detect and remove shadows in an image. The generator consists of multiple progressive step…