ObjectMorpher: 3D-Aware Image Editing via Deformable 3DGS Models

• URL: http://arxiv.org/abs/2603.28152v1
• Date: Mon, 30 Mar 2026 08:15:29 GMT
• Title: ObjectMorpher: 3D-Aware Image Editing via Deformable 3DGS Models
• Abstract summary: We present ObjectMorpher, a unified, interactive framework that converts ambiguous 2D edits into geometry-grounded operations.<n>Users drag control points; a graph-based non-rigid deformation with as-rigid-as-possible (ARAP) constraints ensures physically sensible shape and pose changes.<n>Across diverse categories, ObjectMorpher delivers fine-grained, photorealistic edits with superior controllability and efficiency.
• Score: 31.723421257306384
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Achieving precise, object-level control in image editing remains challenging: 2D methods lack 3D awareness and often yield ambiguous or implausible results, while existing 3D-aware approaches rely on heavy optimization or incomplete monocular reconstructions. We present ObjectMorpher, a unified, interactive framework that converts ambiguous 2D edits into geometry-grounded operations. ObjectMorpher lifts target instances with an image-to-3D generator into editable 3D Gaussian Splatting (3DGS), enabling fast, identity-preserving manipulation. Users drag control points; a graph-based non-rigid deformation with as-rigid-as-possible (ARAP) constraints ensures physically sensible shape and pose changes. A composite diffusion module harmonizes lighting, color, and boundaries for seamless reintegration. Across diverse categories, ObjectMorpher delivers fine-grained, photorealistic edits with superior controllability and efficiency, outperforming 2D drag and 3D-aware baselines on KID, LPIPS, SIFID, and user preference.

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