#video-diffusion2 articles

2 articles

AIBullisharXiv – CS AI · 5h ago1

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Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models

Researchers introduce Frame Guidance, a training-free method for controllable video generation using diffusion models. The technique enables fine-grained control over video generation through frame-level signals like keyframes and style references without requiring expensive fine-tuning of large-scale models.

AINeutralarXiv – CS AI · 5h ago1

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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.