{"ID":2854258,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.15869","arxiv_id":"2510.15869","title":"Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery","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-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 for realistic coarse geometry and open-domain diffusion models for high-quality close-up appearance synthesis. We propose Skyfall-GS, a novel hybrid framework that synthesizes immersive city-block scale 3D urban scenes by combining satellite reconstruction with diffusion refinement, eliminating the need for costly 3D annotations, and also featuring real-time, immersive 3D exploration. We tailor a curriculum-driven iterative refinement strategy to progressively enhance geometric completeness and photorealistic texture. Extensive experiments demonstrate that Skyfall-GS provides improved cross-view consistent geometry and more realistic textures compared to state-of-the-art approaches. Project page: https://skyfall-gs.jayinnn.dev/","short_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-world 3D scans for training generalizable generative models. In this paper, we take an alternat...","url_abs":"https://arxiv.org/abs/2510.15869","url_pdf":"https://arxiv.org/pdf/2510.15869v3","authors":"[\"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\"]","published":"2025-10-17T17:59:51Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[\"Diffusion Model\",\"LoRA\"]","project_urls":"[\"https://skyfall-gs.jayinnn.dev/\"]","has_code":false,"code_links":[{"ID":608130,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2854258,"paper_url":"https://arxiv.org/abs/2510.15869","paper_title":"Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery","repo_url":"https://github.com/jayin92/skyfall-gs","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0},{"ID":608131,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2854258,"paper_url":"https://arxiv.org/abs/2510.15869","paper_title":"Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery","repo_url":"https://github.com/jayin92/Skyfall-GS","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}