activity
20222025
most citedCurricular Contrastive Regularization for Physics-aware Single Image Dehazing

20 citations · 20 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

DeshadowMamba: Deshadowing as 1D Sequential Similarity

Zhaotong Yang, Yi Chen, Yanying Li +5

Recent deep models for image shadow removal often rely on attention-based architectures to capture long-range dependencies. However, their fixed attention patterns tend to mix illu…

cs.CV2025

SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image Generation

Jingdan Kang, Haoxin Yang, Yan Cai +4

Image generation technology has brought significant advancements across various fields but has also raised concerns about data misuse and potential rights infringements, particular…

cs.CV2024

Task-Oriented Diffusion Inversion for High-Fidelity Text-based Editing

Yangyang Xu, Wenqi Shao, Yong Du +4

Recent advancements in text-guided diffusion models have unlocked powerful image manipulation capabilities, yet balancing reconstruction fidelity and editability for real images re…

cs.CV2023

One-for-All: Towards Universal Domain Translation with a Single StyleGAN

Yong Du, Jiahui Zhan, Xinzhe Li +4

In this paper, we propose a novel translation model, UniTranslator, for transforming representations between visually distinct domains under conditions of limited training data and…

cs.CV2023★ 20 cited

Curricular Contrastive Regularization for Physics-aware Single Image Dehazing

Yu Zheng, Jiahui Zhan, Shengfeng He +2

Considering the ill-posed nature, contrastive regularization has been developed for single image dehazing, introducing the information from negative images as a lower bound. Howeve…

cs.CV2022

Editing Out-of-domain GAN Inversion via Differential Activations

Haorui Song, Yong Du, Tianyi Xiang +3

Despite the demonstrated editing capacity in the latent space of a pretrained GAN model, inverting real-world images is stuck in a dilemma that the reconstruction cannot be faithfu…