activity
20232026
most citedEnd-To-End Underwater Video Enhancement: Dataset and Model

3 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2026

All-in-One Image Restoration via Causal-Deconfounding Wavelet-Disentangled Prompt Network

Bingnan Wang, Bin Qin, Jiangmeng Li +3

Image restoration represents a promising approach for addressing the inherent defects of image content distortion. Standard image restoration approaches suffer from high storage co…

cs.CV2024

A Physical Model-Guided Framework for Underwater Image Enhancement and Depth Estimation

Dazhao Du, Lingyu Si, Fanjiang Xu +2

Due to the selective absorption and scattering of light by diverse aquatic media, underwater images usually suffer from various visual degradations. Existing underwater image enhan…

cs.CV2024

Learning Novel View Synthesis from Heterogeneous Low-light Captures

Quan Zheng, Hao Sun, Huiyao Xu +1

Neural radiance field has achieved fundamental success in novel view synthesis from input views with the same brightness level captured under fixed normal lighting. Unfortunately,…

cs.CV20243 cited

End-To-End Underwater Video Enhancement: Dataset and Model

Dazhao Du, Enhan Li, Lingyu Si +2

Underwater video enhancement (UVE) aims to improve the visibility and frame quality of underwater videos, which has significant implications for marine research and exploration. Ho…

cs.CV2023

UIEDP:Underwater Image Enhancement with Diffusion Prior

Dazhao Du, Enhan Li, Lingyu Si +3

Underwater image enhancement (UIE) aims to generate clear images from low-quality underwater images. Due to the unavailability of clear reference images, researchers often synthesi…