Sky2Ground provides a new three-view multi-altitude dataset and SkyNet model that improves absolute pose estimation performance by 9.6% on RRA@5 and 18.1% on RTA@5 over prior methods when satellite imagery is included.
Citygs-x: A scalable architecture for efficient and geometrically accurate large-scale scene reconstruction.arXiv preprint arXiv:2503.23044,
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TideGS scales 3D Gaussian Splatting training to over one billion primitives on a single 24GB GPU via block-virtualized geometry, asynchronous I/O pipelines, and trajectory-adaptive differential streaming.
DAV-GSWT uses diffusion priors and active view sampling to synthesize high-fidelity Gaussian Splatting Wang Tiles from minimal observations while preserving visual quality and tile transitions.
A technique reconstructs large urban areas from sparse extreme off-nadir satellite images by modeling geometry as a Z-monotonic 2.5D height map SDF and applying a generative network to restore plausible textures on the resulting mesh.
MetroGS combines distributed 2D Gaussian Splatting with structured dense enhancement, progressive hybrid optimization, and depth-guided appearance modeling to deliver higher geometric accuracy and stability in large-scale urban reconstruction.
citing papers explorer
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Sky2Ground: A Benchmark for Site Modeling under Varying Altitude
Sky2Ground provides a new three-view multi-altitude dataset and SkyNet model that improves absolute pose estimation performance by 9.6% on RRA@5 and 18.1% on RTA@5 over prior methods when satellite imagery is included.
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TideGS: Scalable Training of Over One Billion 3D Gaussian Splatting Primitives via Out-of-Core Optimization
TideGS scales 3D Gaussian Splatting training to over one billion primitives on a single 24GB GPU via block-virtualized geometry, asynchronous I/O pipelines, and trajectory-adaptive differential streaming.
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DAV-GSWT: Diffusion-Active-View Sampling for Data-Efficient Gaussian Splatting Wang Tiles
DAV-GSWT uses diffusion priors and active view sampling to synthesize high-fidelity Gaussian Splatting Wang Tiles from minimal observations while preserving visual quality and tile transitions.
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From Orbit to Ground: Generative City Photogrammetry from Extreme Off-Nadir Satellite Images
A technique reconstructs large urban areas from sparse extreme off-nadir satellite images by modeling geometry as a Z-monotonic 2.5D height map SDF and applying a generative network to restore plausible textures on the resulting mesh.
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MetroGS: Efficient and Stable Reconstruction of Geometrically Accurate High-Fidelity Large-Scale Scenes
MetroGS combines distributed 2D Gaussian Splatting with structured dense enhancement, progressive hybrid optimization, and depth-guided appearance modeling to deliver higher geometric accuracy and stability in large-scale urban reconstruction.