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Skyfall-GS synthesizes 3D urban scenes from satellite imagery

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Skyfall-GS, a new framework for synthesizing large-scale, immersive 3D urban scenes. This approach leverages satellite imagery for coarse geometry and diffusion models for detailed appearance synthesis, bypassing the need for costly 3D annotations. The system progressively enhances geometric completeness and photorealistic textures through a curriculum-driven iterative refinement strategy, offering improved cross-view consistency and realism compared to existing methods. AI

IMPACT Enables more realistic and scalable creation of 3D environments for immersive applications.

RANK_REASON This is a research paper detailing a new method for synthesizing 3D urban scenes. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Skyfall-GS synthesizes 3D urban scenes from satellite imagery

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This is a research paper detailing a new method for synthesizing 3D urban scenes. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Jie-Ying Lee, Yi-Ruei Liu, Shr-Ruei Tsai, Wei-Cheng Chang, Chung-Ho Wu, Jiewen Chan, Zhenjun Zhao, Chieh Hubert Lin, Yu-Lun Liu ·

    Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery

    arXiv:2510.15869v4 Announce Type: replace Abstract: 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-wor…

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