Abstract: Zero-shot learning aims at recognizing unseen classes (no training example) with knowledge transferred from seen classes. This is typically achieved by exploiting a semantic feature space ...

Standalone, inference-only release for minute-level multi-shot audio-video generation with a distilled DMD generator, paired cross-modal memory, and story-level consistency.