WonderZoom: Multi-Scale 3D World Generation

Jin Cao, Hong-Xing Yu, Jiajun Wu
12/9/2025
cs.CVcs.AIcs.GR

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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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@article{cao2025wonderzoom,
  title  = {WonderZoom: Multi-Scale 3D World Generation},
  author = {Jin Cao and Hong-Xing Yu and Jiajun Wu},
  year   = {2025},
  eprint = {2512.09164},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2512.09164v1}
}

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