most citedDual-Path Coupled Image Deraining Network via Spatial-Frequency Interaction

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Multi-Scale Representation Learning for Image Restoration with State-Space Model

Yuhong He, Long Peng, Qiaosi Yi +2

Image restoration endeavors to reconstruct a high-quality, detail-rich image from a degraded counterpart, which is a pivotal process in photography and various computer vision syst…

cs.CV2024

Adaptive Frequency Enhancement Network for Single Image Deraining

Fei Yan, Yuhong He, Keyu Chen +2

Image deraining aims to improve the visibility of images damaged by rainy conditions, targeting the removal of degradation elements such as rain streaks, raindrops, and rain accumu…

cs.CV2024

MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results

Yuekun Dai, Dafeng Zhang, Xiaoming Li +60

The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algor…

cs.CV2024★ 1 cited

Dual-Path Coupled Image Deraining Network via Spatial-Frequency Interaction

Yuhong He, Aiwen Jiang, Lingfang Jiang +2

Transformers have recently emerged as a significant force in the field of image deraining. Existing image deraining methods utilize extensive research on self-attention. Though sho…

cs.CV2023

Latent Degradation Representation Constraint for Single Image Deraining

Yuhong He, Long Peng, Lu Wang +1

Since rain streaks show a variety of shapes and directions, learning the degradation representation is extremely challenging for single image deraining. Existing methods are mainly…