activity
20182022
most citedA Benchmark for Edge-Preserving Image Smoothing

92 citations · 100 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2021

HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset

Guanying Chen, Chaofeng Chen, Shi Guo +3

High dynamic range (HDR) video reconstruction from sequences captured with alternating exposures is a very challenging problem. Existing methods often align low dynamic range (LDR)…

eess.IV2021

Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images

Shi Guo, Zhetong Liang, Lei Zhang

Denoising and demosaicking are essential yet correlated steps to reconstruct a full color image from the raw color filter array (CFA) data. By learning a deep convolutional neural…

eess.IV2019

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning

Zhetong Liang, Jianrui Cai, Zisheng Cao +1

Traditional image signal processing (ISP) pipeline consists of a set of individual image processing components onboard a camera to reconstruct a high-quality sRGB image from the se…

cs.CV201992 cited

A Benchmark for Edge-Preserving Image Smoothing

Feida Zhu, Zhetong Liang, Xixi Jia +2

Edge-preserving image smoothing is an important step for many low-level vision problems. Though many algorithms have been proposed, there are several difficulties hindering its fur…

cs.CV2018

Real-world Noisy Image Denoising: A New Benchmark

Jun Xu, Hui Li, Zhetong Liang +2

Most of previous image denoising methods focus on additive white Gaussian noise (AWGN). However,the real-world noisy image denoising problem with the advancing of the computer visi…