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• ProDiG introduces a geometry-aware causal attention module that injects epipolar structure into reference-view diffusion to refine Gaussian representations.method 90%
• ProDiG includes a distance-adaptive Gaussian module that dynamically adjusts Gaussian scale and opacity based on camera distance to ensure stable reconstruction across large viewpoint gaps.method 90%
• ProDiG significantly outperforms existing approaches in visual quality, geometric consistency, and robustness to extreme viewpoint changes.result 85%
• Existing Gaussian Splatting and diffusion-based refinement methods fail under wide aerial-to-ground viewpoint gaps.limitation 85%
• ProDiG enables progressive refinement without requiring additional ground-truth viewpoints.technical 90%
• Existing methods either produce geometrically inconsistent results or rely on multi-altitude ground-truth data that is rarely available.limitation 85%
• ProDiG progressively transforms aerial 3D representations toward ground-level fidelity by synthesizing intermediate-altitude views.method 90%

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