no code implementations • 28 May 2024 • Zhengji Li, Xi Xiao, Jiacheng Xie, Yuxiao Fan, Wentao Wang, Gang Chen, Liqiang Zhang, Tianyang Wang
Due to a substantial difference between the images generated by CycleGAN and real road images, we proposed a data enhancement method based on an improved Scharr filter, CycleGAN, and Laplacian pyramid.
no code implementations • 1 Apr 2024 • Jiacheng Xie, Hua-Chieh Shao, Yunxiang Li, You Zhang
PFGDM-B, on the other hand, continuously applies the prior CT information condition in every reconstruction step, while with a decaying mechanism, to gradually phase out the reconstruction guidance from the prior CT scans.
no code implementations • 26 Nov 2022 • Yifan Zuo, Jiacheng Xie, Yuming Fang, Yan Huang, Wenhui Jiang
A mainstream type of the state of the arts (SOTAs) based on convolutional neural network (CNN) for real image denoising contains two sub-problems, i. e., noise estimation and non-blind denoising.