WonderZoom：多尺度三维世界生成
WonderZoom: Multi-Scale 3D World Generation
把尺度自适应的 Gaussian surfels 与渐进式细节合成器结合，让单张图像可以自回归地「放大」出跨尺度的三维内容，为单图三维场景生成与实时渲染提供了一条可复用的多尺度表示思路。
原文依据 scale-adaptive Gaussian surfels for generating and real-time rendering of multi-scale 3D scenes
摘要译文
由模型翻译 · 术语统一 · 请对照原文核对关键结论本文提出 WonderZoom，一种从单张图像生成内容跨越多个空间尺度的三维场景的新方法。现有的三维世界生成模型仍局限于单尺度合成，无法在不同粒度上生成连贯的场景内容。其根本挑战在于缺乏一种尺度感知的三维表示，能够生成并渲染空间尺寸差异巨大的内容。WonderZoom 通过两项关键创新解决这一问题：(1) 尺度自适应高斯面元（scale-adaptive Gaussian surfels），用于多尺度三维场景的生成与实时渲染；(2) 渐进式细节合成器，迭代地生成更细尺度的三维内容。该方法使用户能够「放大」某个三维区域，并自回归地合成此前并不存在的精细细节，从地貌景观一直到微观特征。实验表明，WonderZoom 在质量与对齐两方面均显著优于最优的视频模型与三维模型，能够从单张图像实现多尺度三维世界的创建。我们在补充材料网站上展示了视频结果以及生成的多尺度三维世界的交互式查看器。
英文原文摘要 1168 字符
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 on the website of the supplementary materials.