GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models

arXiv:2404.07206v1 Announce Type: cross
Abstract: In this paper, we introduce GoodDrag, a novel approach to improve the stability and image quality of drag editing. Unlike existing methods that struggle with accumulated perturbations and often result in distortions, GoodDrag introduces an AlDD framework that alternates between drag and denoising operations within the diffusion process, effectively improving the fidelity of the result. We also propose an information-preserving motion supervision operation that maintains the original features of the starting point for precise manipulation …

arxiv cs.ai cs.cv cs.gr cs.lg cs.mm diffusion diffusion models editing good practices type