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20242026
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7 papers · 1 filter

cs.CV2026

Ground4D: Consistency-Aware 4D Reconstruction from Monocular Video

Qing Zhao, Weijian Deng, Pengxu Wei +1

Learning a 4D scene representation from a single monocular video that supports dynamic novel-view synthesis while maintaining faithful geometry over time remains challenging. Dynam…

cs.CV2026

When Preference Labels Fall Short: Aligning Diffusion Models from Real Data

Weiyan Chen, Weijian Deng, Yao Xiao +5

Preference alignment aims to guide generative models by learning from comparisons between preferred and non-preferred samples. In practice, most existing approaches rely on prefere…

cs.CV2026

Where Detectors Fail: Probing Generative Space for Generalizable AI-Generated Image Detection

Zijie Cao, Weijie Tu, Yao Xiao +3

Detecting AI-generated images (AIGI) remains challenging because detectors often fail to generalize to unseen generators. Although existing methods are trained on large datasets, t…

cs.CV2026

Progressive Split Mamba: Effective State Space Modelling for Image Restoration

Mohammed Hassanin, Nour Moustafa, Weijian Deng +1

Image restoration requires simultaneously preserving fine-grained local structures and maintaining long-range spatial coherence. While convolutional networks struggle with limited…

cs.CV2026

Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy

Qing Zhao, Weijian Deng, Pengxu Wei +4

To improve detection robustness in adverse conditions (e.g., haze and low light), image restoration is commonly applied as a pre-processing step to enhance image quality for the de…

cs.CV2026

Unveiling Perceptual Artifacts: A Fine-Grained Benchmark for Interpretable AI-Generated Image Detection

Yao Xiao, Weiyan Chen, Jiahao Chen +8

Current AI-Generated Image (AIGI) detection approaches predominantly rely on binary classification to distinguish real from synthetic images, often lacking interpretable or convinc…