SAGA is a multi-granular source attribution system for generative AI videos that identifies the exact generator with state-of-the-art accuracy using only 0.5% labeled data per class.
Photore- alistic text-to-image diffusion models with deep language under- standing.Advances in neural information processing systems, 35: 36479–36494
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SAGA: Source Attribution of Generative AI Videos
SAGA is a multi-granular source attribution system for generative AI videos that identifies the exact generator with state-of-the-art accuracy using only 0.5% labeled data per class.