activity
20222025
most citedEnhancement by Your Aesthetic: An Intelligible Unsupervised Personalized Enhancer for Low-Light Images

12 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

WaterWave: Bridging Underwater Image Enhancement into Video Streams via Wavelet-based Temporal Consistency Field

Qi Zhu, Jingyi Zhang, Naishan Zheng +4

Underwater video pairs are fairly difficult to obtain due to the complex underwater imaging. In this case, most existing video underwater enhancement methods are performed by direc…

cs.CV2024

Prototype Clustered Diffusion Models for Versatile Inverse Problems

Jinghao Zhang, Zizheng Yang, Qi Zhu +1

Diffusion models have made remarkable progress in solving various inverse problems, attributing to the generative modeling capability of the data manifold. Posterior sampling from…

cs.CV2024★ 2 cited

FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining

Dong Li, Yidi Liu, Xueyang Fu +2

Image deraining aims to remove rain streaks from rainy images and restore clear backgrounds. Currently, some research that employs the Fourier transform has proved to be effective…

cs.CV2022★ 12 cited

Enhancement by Your Aesthetic: An Intelligible Unsupervised Personalized Enhancer for Low-Light Images

Naishan Zheng, Jie Huang, Qi Zhu +3

Low-light image enhancement is an inherently subjective process whose targets vary with the user's aesthetic. Motivated by this, several personalized enhancement methods have been…

cs.CV2022

Source-Free Domain Adaptation for Real-world Image Dehazing

Hu Yu, Jie Huang, Yajing Liu +3

Deep learning-based source dehazing methods trained on synthetic datasets have achieved remarkable performance but suffer from dramatic performance degradation on real hazy images…