Lune

ICML2025

DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model

Siwei Xia, Li Sun, Tiantian Sun, Qingli Li

2025Year

Abstract

User Request 30 steps 57 steps 80 steps DragDiffusion DragLoRA MinD Curve User Request (17 + 13 ) steps (31 + 26 ) steps (49 + 39 ) steps User Request 20 steps 60 steps 80 steps User Request (11 + 9 ) steps (27 + 53 ) steps (39 +110 ) steps DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model that DragLoRA significantly enhances the control precision and computational efficiency for dragbased image editing. The Codes are available at: https://github.com/Sylvie-X/DragLoRA.