DBINDS: detection based on initial noise difference sequence from diffusion model inversion for AI-generated videos
DBINDS, a diffusion-model-inversion-based detection framework that extends the analysis from the pixel domain to a diffusion-inversion-derived latent-noise space, is proposed and a composite of spatiotemporal correlation and spatiotemporal texture features is identified as the Best Dual Combination.