WonderZoom: Multi-Scale 3D World Generation

• URL: http://arxiv.org/abs/2512.09164v1
• Date: Tue, 09 Dec 2025 22:21:07 GMT
• Title: WonderZoom: Multi-Scale 3D World Generation
• Authors: Jin Cao, Hong-Xing Yu, Jiajun Wu,
• Abstract summary: WonderZoom generates 3D scenes with contents across multiple spatial scales from a single image.<n>Our approach enables users to "zoom into" a 3D region and auto-regressively synthesize previously non-existent fine details.
• Score: 24.211362383859406
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present WonderZoom, a novel approach to generating 3D scenes with contents across multiple spatial scales from a single image. Existing 3D world generation models remain limited to single-scale synthesis and cannot produce coherent scene contents at varying granularities. The fundamental challenge is the lack of a scale-aware 3D representation capable of generating and rendering content with largely different spatial sizes. WonderZoom addresses this through two key innovations: (1) scale-adaptive Gaussian surfels for generating and real-time rendering of multi-scale 3D scenes, and (2) a progressive detail synthesizer that iteratively generates finer-scale 3D contents. Our approach enables users to "zoom into" a 3D region and auto-regressively synthesize previously non-existent fine details from landscapes to microscopic features. Experiments demonstrate that WonderZoom significantly outperforms state-of-the-art video and 3D models in both quality and alignment, enabling multi-scale 3D world creation from a single image. We show video results and an interactive viewer of generated multi-scale 3D worlds in https://wonderzoom.github.io/

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