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Shaping a Stabilized Video by Mitigating Unintended Changes for Concept-Augmented Video Editing

Text-driven video editing powered by generative diffusion models holds significant promise for applications spanning film production, advertising, and beyond. However, the limited expressiveness of pre-trained word embeddings often restricts nuanced edits, especially when targeting novel concepts wi