InfraDiffusion adapts DDNM with boundary masks to restore depth maps from masonry point clouds, reporting large SAM-based brick-segmentation improvements, but the evaluation protocol appears to ground the masks in the restored images.
, author Soga, K
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InfraDiffusion: zero-shot depth map restoration with diffusion models and prompted segmentation from sparse infrastructure point clouds
InfraDiffusion adapts DDNM with boundary masks to restore depth maps from masonry point clouds, reporting large SAM-based brick-segmentation improvements, but the evaluation protocol appears to ground the masks in the restored images.