AI RESEARCH
MotionCFG: Boosting Motion Dynamics via Stochastic Concept Perturbation
arXiv CS.AI
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ArXi:2603.14073v1 Announce Type: cross Despite recent advances in Text-to-Video (T2V) synthesis, generating high-fidelity and dynamic motion remains a significant challenge. Existing methods primarily rely on Classifier-Free Guidance (CFG), often with explicit negative prompts (e.g. "static", "blurry"), to suppress undesired artifacts. However, such explicit negations frequently