6 citations · 24 across the 11 of their papers we have counts for
11 papers
CasDyF-Net: Image Dehazing via Cascaded Dynamic Filters
Wang Yinglong, He Bin
Image dehazing aims to restore image clarity and visual quality by reducing atmospheric scattering and absorption effects. While deep learning has made significant strides in this…
Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network
Yinglong Wang, Zhen Liu, Jianzhuang Liu +2
This paper presents a novel network structure with illumination-aware gamma correction and complete image modelling to solve the low-light image enhancement problem. Low-light envi…
Removing Rain Streaks via Task Transfer Learning
Yinglong Wang, Chao Ma, Jianzhuang Liu
Due to the difficulty in collecting paired real-world training data, image deraining is currently dominated by supervised learning with synthesized data generated by e.g., Photosho…
Ghost-free High Dynamic Range Imaging with Context-aware Transformer
Zhen Liu, Yinglong Wang, Bing Zeng +1
High dynamic range (HDR) deghosting algorithms aim to generate ghost-free HDR images with realistic details. Restricted by the locality of the receptive field, existing CNN-based m…
Rethinking Image Deraining via Rain Streaks and Vapors
Yinglong Wang, Yibing Song, Chao Ma +1
Single image deraining regards an input image as a fusion of a background image, a transmission map, rain streaks, and atmosphere light. While advanced models are proposed for imag…
Deep Image Deraining Via Intrinsic Rainy Image Priors and Multi-scale Auxiliary Decoding
Yinglong Wang, Chao Ma, Bing Zeng
Different rain models and novel network structures have been proposed to remove rain streaks from single rainy images. In this work, we bring attention to the intrinsic priors and…