RegionDrag: Fast Region-Based Image Editing with Diffusion Models

Understand

Point-drag-based image editing methods, like DragDiffusion, have attracted significant attention.

• However, point-drag-based approaches suffer from computational overhead and misinterpretation of user intentions due to the sparsity of point-based editing instructions.
• In this paper, we propose a region-based copy-and-paste dragging method, RegionDrag, to overcome these limitations.
• RegionDrag allows users to express their editing instructions in the form of handle and target regions, enabling more precise control and alleviating ambiguity.