activity
20232026
most citedLearning A Physical-aware Diffusion Model Based on Transformer for Underwater Image Enhancement

10 citations · 21 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2026

Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation

Chenxi Zhao, Chen Zhu, Xiaokun Feng +6

Few-step generation has been a long-standing goal, with recent one-step generation methods exemplified by MeanFlow achieving remarkable results. Existing research on MeanFlow prima…

cs.CV2026

From Zero to Detail: A Progressive Spectral Decoupling Paradigm for UHD Image Restoration with New Benchmark

Chen Zhao, Yunzhe Xu, Zhizhou Chen +5

Ultra-high-definition (UHD) image restoration poses unique challenges due to the high spatial resolution, diverse content, and fine-grained structures present in UHD images. To add…

math.AG2024

Minimal extension property of direct images

Chen Zhao

Given a projective morphism from a complex space to a complex manifold, we prove the Griffiths semi-positivity and minimal extension property of the direct image sheaf $…

cs.CV2024★ 5 cited

O-Mamba: O-shape State-Space Model for Underwater Image Enhancement

Chenyu Dong, Chen Zhao, Weiling Cai +1

Underwater image enhancement (UIE) face significant challenges due to complex underwater lighting conditions. Recently, mamba-based methods have achieved promising results in image…

cs.CV2024

Cycle Contrastive Adversarial Learning for Unsupervised image Deraining

Chen Zhao, Weiling Cai, ChengWei Hu +1

To tackle the difficulties in fitting paired real-world data for single image deraining (SID), recent unsupervised methods have achieved notable success. However, these methods oft…

cs.CV2024★ 1 cited

Semantic-guided Adversarial Diffusion Model for Self-supervised Shadow Removal

Ziqi Zeng, Chen Zhao, Weiling Cai +1

Existing unsupervised methods have addressed the challenges of inconsistent paired data and tedious acquisition of ground-truth labels in shadow removal tasks. However, GAN-based t…

cs.CV2024★ 10 cited

Learning A Physical-aware Diffusion Model Based on Transformer for Underwater Image Enhancement

Chen Zhao, Chenyu Dong, Weiling Cai +1

Underwater visuals undergo various complex degradations, inevitably influencing the efficiency of underwater vision tasks. Recently, diffusion models were employed to underwater im…

cs.CV2023★ 4 cited

Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration

Chen Zhao, Weiling Cai, Chenyu Dong +1

Underwater images are subject to intricate and diverse degradation, inevitably affecting the effectiveness of underwater visual tasks. However, most approaches primarily operate in…

cs.CV2023★ 1 cited

Toward Sufficient Spatial-Frequency Interaction for Gradient-aware Underwater Image Enhancement

Chen Zhao, Weiling Cai, Chenyu Dong +1

Underwater images suffer from complex and diverse degradation, which inevitably affects the performance of underwater visual tasks. However, most existing learning-based Underwater…