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The torchsparse papers seem focused on outdoor lidar datasets, which are very sparse. I don't see any benchmarks on slightly denser datasets like 3DMatch, where the point clouds are indoor spaces collected with a ToF camera or structured light.
Does torchsparse offer significant efficiency gains in these cases? Or is torchsparse focused on outdoor lidar?
The text was updated successfully, but these errors were encountered:
The torchsparse papers seem focused on outdoor lidar datasets, which are very sparse. I don't see any benchmarks on slightly denser datasets like 3DMatch, where the point clouds are indoor spaces collected with a ToF camera or structured light.
Does torchsparse offer significant efficiency gains in these cases? Or is torchsparse focused on outdoor lidar?
The text was updated successfully, but these errors were encountered: