AI RESEARCH

UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models

arXiv CS.CV

ArXi:2504.13109v2 Announce Type: replace Flow matching models have emerged as a strong alternative to diffusion models, but existing inversion and editing methods designed for diffusion are often ineffective or inapplicable to them. The straight-line, non-crossing trajectories of flow models pose challenges for diffusion-based approaches but also open avenues for novel solutions. In this paper, we