AINeutralarXiv – CS AI · Mar 45/103
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Interpretable Motion-Attentive Maps: Spatio-Temporally Localizing Concepts in Video Diffusion Transformers
Researchers have developed new methods to understand how Video Diffusion Transformers convert motion-related text descriptions into video content. The study introduces GramCol and Interpretable Motion-Attentive Maps (IMAP) to spatially and temporally localize motion concepts in AI-generated videos without requiring gradient calculations.