7 citations · 8 across the 2 of their papers we have counts for
4 papers
Enhancing and Learning Denoiser without Clean Reference
Rui Zhao, Daniel P. K. Lun, Kin-Man Lam
Recent studies on learning-based image denoising have achieved promising performance on various noise reduction tasks. Most of these deep denoisers are trained either under the sup…
DeepGIN: Deep Generative Inpainting Network for Extreme Image Inpainting
Chu-Tak Li, Wan-Chi Siu, Zhi-Song Liu +2
The degree of difficulty in image inpainting depends on the types and sizes of the missing parts. Existing image inpainting approaches usually encounter difficulties in completing…
Deep Relighting Networks for Image Light Source Manipulation
Li-Wen Wang, Wan-Chi Siu, Zhi-Song Liu +2
Manipulating the light source of given images is an interesting task and useful in various applications, including photography and cinematography. Existing methods usually require…
Enhancement of a CNN-Based Denoiser Based on Spatial and Spectral Analysis
Rui Zhao, Kin-Man Lam, Daniel P. K. Lun
Convolutional neural network (CNN)-based image denoising methods have been widely studied recently, because of their high-speed processing capability and good visual quality. Howev…