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Skyfall-GS: Generating 3D Urban Scenes from Satellite Imagery Using Diffusion Models

By

ChrisArchitect

6mo ago· 1 min readenInsight

Summary

Skyfall-GS is a novel system that synthesizes large-scale, explorable 3D urban scenes from satellite imagery using diffusion models. The approach addresses the challenge of lacking large-scale real-world 3D scans for training by leveraging readily available satellite data. The system creates geometrically accurate 3D environments suitable for immersive and embodied applications, with real-time rendering performance.

Key quotes

· 3 pulled
Synthesizing large-scale, explorable, and geometrically accurate 3D urban scenes is a challenging yet valuable task for immersive and embodied applications.
The challenge lies in the lack of large-scale and high-quality real-world 3D scans for training generalizable generative models.
In this paper, we take an alternative route to create large-scale 3D scenes by leveraging readily available satellite imagery.
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Skyfall-GS converts satellite images to explorable 3D urban scenes using diffusion models, with real-time rendering performance.

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