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cs.CV2026
Layer Consistency Matters: Elegant Latent Transition Discrepancy for Generalizable Synthetic Image Detection
Yawen Yang, Feng Li, Shuqi Kong +4
Recent rapid advancement of generative models has significantly improved the fidelity and accessibility of AI-generated synthetic images. While enabling various innovative applicat…
cs.CV2025
Dare to Plagiarize? Plagiarized Painting Recognition and Retrieval
Sophie Zhou, Shu Kong
Art plagiarism detection plays a crucial role in protecting artists' copyrights and intellectual property, yet it remains a challenging problem in forensic analysis. In this paper,…
cs.CV2024★ 2 cited
Boosting Image Restoration via Priors from Pre-trained Models
Xiaogang Xu, Shu Kong, Tao Hu +2
Pre-trained models with large-scale training data, such as CLIP and Stable Diffusion, have demonstrated remarkable performance in various high-level computer vision tasks such as i…