AnchorD anchors monocular depth priors in metric sensor data via patch-wise affine alignment using factor graph optimization, improving accuracy on non-Lambertian objects and introducing a new benchmark dataset with dense ground truth.
Costdcnet: Cost volume based depth completion for a single rgb-d image
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AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs
AnchorD anchors monocular depth priors in metric sensor data via patch-wise affine alignment using factor graph optimization, improving accuracy on non-Lambertian objects and introducing a new benchmark dataset with dense ground truth.