1 code implementation • 26 Mar 2024 • Dihan Zheng, Yihang Zou, Xiaowen Zhang, Chenglong Bao
We employ our method to generate paired training samples for real-world image denoising and super-resolution tasks.
no code implementations • 26 Sep 2023 • HUI ZHANG, Dihan Zheng, Qiurong Wu, Nieng Yan, Zuoqiang Shi, Mingxu Hu, Chenglong Bao
The single-particle cryo-EM field faces the persistent challenge of preferred orientation, lacking general computational solutions.
1 code implementation • 21 Apr 2022 • Dihan Zheng, Xiaowen Zhang, Kaisheng Ma, Chenglong Bao
Current approaches aim at generating synthesized training data from unpaired samples by exploring the relationship between the corrupted and clean data.
1 code implementation • 14 Apr 2022 • Dihan Zheng, Chenglong Bao, Zuoqiang Shi, Haibin Ling, Kaisheng Ma
The Chan-Vese (CV) model is a classic region-based method in image segmentation.
no code implementations • 29 Sep 2021 • Dihan Zheng, Xiaowen Zhang, Kaisheng Ma, Chenglong Bao
Collecting the paired training data is a difficult task in practice, but the unpaired samples broadly exist.
1 code implementation • ICLR 2021 • Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao
In the real-world case, the noise distribution is so complex that the simplified additive white Gaussian (AWGN) assumption rarely holds, which significantly deteriorates the Gaussian denoisers' performance.