GeoMix achieves new state-of-the-art results in descriptor-free 2D-3D matching by adding directional embeddings, learnable global context nodes, and multi-detector training, cutting rotation and translation errors by up to 90% on standard benchmarks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
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A ray-tracing pipeline aligns ground-level image pixels to outdated DEM rasters for real-time 3D terrain reconstruction in wildfire zones, validated primarily through a custom simulator.
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GeoMix: Descriptor-Free Visual Localization via Global Context and Multi-Detector Training
GeoMix achieves new state-of-the-art results in descriptor-free 2D-3D matching by adding directional embeddings, learnable global context nodes, and multi-detector training, cutting rotation and translation errors by up to 90% on standard benchmarks.
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LTM: Large-scale Terrain Model for Wildfire-prone Landscapes
A ray-tracing pipeline aligns ground-level image pixels to outdated DEM rasters for real-time 3D terrain reconstruction in wildfire zones, validated primarily through a custom simulator.