no code implementations • 5 Jan 2024 • Wencong Wu, An Ge, Guannan Lv, Yuelong Xia, Yungang Zhang, Wen Xiong
Deep convolutional neural networks (CNNs) for image denoising can effectively exploit rich hierarchical features and have achieved great success.
1 code implementation • 7 May 2023 • Wencong Wu, Shijie Liu, Yi Zhou, Yungang Zhang, Yu Xiang
The proposed DRANet includes two different parallel branches, which can capture complementary features to enhance the learning ability of the model.
Ranked #1 on Image Denoising on SIDD (Average PSNR metric)
1 code implementation • 4 Apr 2023 • Wencong Wu, Shicheng Liao, Guannan Lv, Peng Liang, Yungang Zhang
The proposed DCBDNet consists of a noise estimation network and a dual convolutional neural network (CNN).
1 code implementation • 4 Apr 2023 • Wencong Wu, Guannan Lv, Yingying Duan, Peng Liang, Yungang Zhang, Yuelong Xia
In this paper, we present a new dual convolutional neural network (CNN) with attention for image blind denoising, named as the DCANet.
no code implementations • 17 Feb 2022 • Fengze Li, Jieming Ma, Zhongbei Tian, Ji Ge, Hai-Ning Liang, Yungang Zhang, Tianxi Wen
Mirrors can degrade the performance of computer vision models, however to accurately detect mirrors in images remains challenging.