Introduces CLIP guidance and prior-preservation loss to constrain point-based diffusion image edits within the model's sampling distribution for more consistent results.
Therefore, we consider introducing text guidance based on reward feedback to control the gradient direction of motion supervi- sion
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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.