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SIGGRAPH2025顶会

Cora: Correspondence-aware image editing using few step diffusion

Amirhossein Alimohammadi, Aryan Mikaeili, Sauradip Nag, Negar Hassanpour, Andrea Tagliasacchi, Ali Mahdavi-Amiri

2025年份
2顶会引用

摘要

Fig. 1.Cora supports diverse edits, including object insertion, subject and background changes, and non-rigid deformations (e.g., jumping).Our novel correspondence-aware method provides strong control and flexibility for both appearance and structure editing.Image editing is an important task in computer graphics, vision, and VFX, with recent diffusion-based methods achieving fast and high-quality results.However, edits requiring significant structural changes, such as non-rigid deformations, object modifications, or content generation, remain challenging.Existing few step editing approaches produce artifacts such as irrelevant texture or struggle to preserve key attributes of the source image (e.g., pose).

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