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EditVerse3D addresses the challenge of local 3D object editing by allowing users to specify coarse regions for modification rather than requiring precise boundaries. The framework utilizes a novel region-aware adaptive loss function to focus on difficult-to-edit areas, while also enhancing model robustness through targeted data augmentations. Experimental results show that EditVerse3D significantly outperforms existing methods in both visual quality and quantitative metrics, making it a promising solution for high-quality 3D editing tasks.
EditVerse3D achieves high-fidelity 3D object edits using only coarse region specifications, outperforming traditional methods that require precise inputs.
Local editing of 3D objects remains a long-standing challenge. When interacting with 3D content, humans naturally tend to specify a coarse region of interest for modification rather than defining precise editing boundaries. However, previous methods rely on fully edited 2D images, precise 3D masks, or redundant pipelines, which present a gap. To bridge this gap, we propose EditVerse3D, a novel 3D editing framework that enables high-quality object editing under such coarse guidance. Our approach takes as input a 3D object to be edited, a coarse 3D bounding box indicating the target region, and a reference 2D image describing the desired modification. It produces a coherent, high-fidelity edited 3D object. To facilitate this editing, we introduce a novel region-aware adaptive loss that emphasizes hard-to-learn regions and balances the objective between target and preserved areas. Complementing our loss function, we enhance model robustness and generalization through targeted data augmentations, such as training with scaled 3D masks and filtering out unrealistic editing pairs. We construct a large-scale 3D editing dataset derived from parts information. Extensive experiments demonstrate that EditVerse3D achieves superior visual quality and quantitative performance compared to existing 3D editing approaches. Please visit our project page at https://editverse3d.github.io.
