Introduces CLIP guidance and prior-preservation loss to constrain point-based diffusion image edits within the model's sampling distribution for more consistent results.
Additionally, we enhance the precision of local editing through Directionally-Weighted Point Tracking (DWPT)
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Drag within Prior Distribution: Text-Conditioned Point-Based Image Editing within Distribution Constraints
Introduces CLIP guidance and prior-preservation loss to constrain point-based diffusion image edits within the model's sampling distribution for more consistent results.