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Paper · arXiv

GeM-NR: Geometry-Aware Multi-View Editing for Nonrigid Scene Changes

Recent developments in multi-view image editing with generative models have brought us a step closer toward general 3D content generation and customization. Most existing works focus on rigid or appearance-only edits by utilizing the geometry of the unedited scene. This naturally limits these methods to edits that preserve the underlying scene structure. Current nonrigid approaches are limited to object removal and insertion, reflecting the data they are trained on. General nonrigid edits, i.e., edits that substantially and arbitrarily change the scene geometry, remain challenging for existing methods. We propose GeM-NR, a fast and flexible training-free approach for general multi-view co...

AuthorsJosef Bengtson, Yaroslava Lochman, Fredrik Kahl
Primary categorycs.CV
Published3 June 2026
Last updated at source1 September 2026
cs.CVcs.AI
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