7 citations · 11 across the 4 of their papers we have counts for
4 papers
Exploring the Collaborative Advantage of Low-level Information on Generalizable AI-Generated Image Detection
Ziyin Zhou, Ke Sun, Zhongxi Chen +5
Existing state-of-the-art AI-Generated image detection methods mostly consider extracting low-level information from RGB images to help improve the generalization of AI-Generated i…
StealthDiffusion: Towards Evading Diffusion Forensic Detection through Diffusion Model
Ziyin Zhou, Ke Sun, Zhongxi Chen +3
The rapid progress in generative models has given rise to the critical task of AI-Generated Content Stealth (AIGC-S), which aims to create AI-generated images that can evade both f…
DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis
Zhongxi Chen, Ke Sun, Ziyin Zhou +4
The rapid progress in deep learning has given rise to hyper-realistic facial forgery methods, leading to concerns related to misinformation and security risks. Existing face forger…
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models
Zhongxi Chen, Ke Sun, Xianming Lin +1
Camouflaged Object Detection (COD) is a challenging task in computer vision due to the high similarity between camouflaged objects and their surroundings. Existing COD methods prim…