Showing cs.CVShow all
2 papers · 1 filter
cs.CV2026
ELDiff: When Evidential Learning Meets Text-to-Image Diffusion
Qingtao Pan, Kai Ye, Zhihao Dou +2
In multi-object text-to-image (T2I) diffusion, ensuring semantic consistency between textual prompts and generated visual content is crucial for image synthesis. However, such cons…
cs.CV2026
A Difference-in-Difference Approach to Detecting AI-Generated Images
Xinyi Qi, Kai Ye, Chengchun Shi +3
Diffusion models are able to produce AI-generated images that are almost indistinguishable from real ones. This raises concerns about their potential misuse and poses substantial c…