ProDiG: Progressive Diffusion-Guided Gaussian Splatting for Aerial to Ground Reconstruction
Generating ground-level views and coherent 3D site models from aerial-only imagery is challenging due to extreme viewpoint changes, missing intermediate observations, and large scale variations. Existing methods either refine renderings post-hoc, often producing geometrically inconsistent results, or rely on multi-altitude ground-truth, which is rarely available. Gaussian Splatting and diffusion-based refinements improve fidelity under small variations but fail under wide aerial-toground gaps. To address these limitations, we introduce ProDiG (Progressive Diffusion-Guided Gaussian Splatting for Aerial to Ground Reconstruction), a diffusionguided framework that progressively transforms aer...
| Authors | Sirshapan Mitra, Yogesh S. Rawat |
|---|---|
| Primary category | cs.CV |
| Published | 2 April 2026 |
| Last updated at source | 10 April 2026 |
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