GenVidBench

Researchers from Southeast University introduced a training-free paradigm for attributing AI-generated videos to their source generative models, achieving a Rank-1 accuracy of 20.5% and mean Average P…

A new method for detecting AI-generated video operates directly on the compressed bitstream, reading the motion field already written by the codec instead of decoding pixels. The approach achieves a f…

BitMind Forensics (BMF), trained through Bittensor SN34's open adversarial competition, achieves 0.936 AUC on Sumsub's original images and 0.872 pooled AUC over its full manipulation battery, outperfo…