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D. Lun

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.IV2

identity via Semantic Scholar / OpenAlex

most citedEnhancement of a CNN-Based Denoiser Based on Spatial and Spectral Analysis

7 citations · 8 across the 2 of their papers we have counts for

collaborators

4 papers

eess.IV2020

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…

cs.CV2020★ 1 cited

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…

cs.CV2020

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…

eess.IV2020★ 7 cited

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…

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