SOURCE-LINKED INTELLIGENCE
SR-Edit: Region-Aware Image Editing via Self-Refinement
With the recent rapid progress in generative models, image editing has made remarkable advances, yet achieving faithful edits that precisely modify only the target regions while strictly preserving all other regions remains challenging. Since externally provided region annotations are often difficult to obtain in practice, a growing body of work seeks to improve preservation by automatically inferring edit and non-edit regions, and then enforcing consistency on the latter. However, these approaches still suffer from inaccurate region estimation and heuristic correction strategies that distort
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-02T12:08:23.000Z
First collected: 2026-09-21T05:32:15.665Z. This is not the publication date.