Interact3D: Compositional 3D Generation of Interactive Objects

• URL: http://arxiv.org/abs/2603.16085v1
• Date: Tue, 17 Mar 2026 03:21:06 GMT
• Title: Interact3D: Compositional 3D Generation of Interactive Objects
• Abstract summary: We present a novel framework designed to generate physically plausible interacting 3D compositional objects.<n>Our approach first leverages advanced generative priors to curate high-quality individual assets.<n>To physically compose these assets, we then introduce a robust two-stage composition pipeline.
• Score: 31.12099147294145
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Recent breakthroughs in 3D generation have enabled the synthesis of high-fidelity individual assets. However, generating 3D compositional objects from single images--particularly under occlusions--remains challenging. Existing methods often degrade geometric details in hidden regions and fail to preserve the underlying object-object spatial relationships (OOR). We present a novel framework Interact3D designed to generate physically plausible interacting 3D compositional objects. Our approach first leverages advanced generative priors to curate high-quality individual assets with a unified 3D guidance scene. To physically compose these assets, we then introduce a robust two-stage composition pipeline. Based on the 3D guidance scene, the primary object is anchored through precise global-to-local geometric alignment (registration), while subsequent geometries are integrated using a differentiable Signed Distance Field (SDF)-based optimization that explicitly penalizes geometry intersections. To reduce challenging collisions, we further deploy a closed-loop, agentic refinement strategy. A Vision-Language Model (VLM) autonomously analyzes multi-view renderings of the composed scene, formulates targeted corrective prompts, and guides an image editing module to iteratively self-correct the generation pipeline. Extensive experiments demonstrate that Interact3D successfully produces promising collsion-aware compositions with improved geometric fidelity and consistent spatial relationships.

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