Prior Depth Anything unifies depth completion, super-resolution, and inpainting by aligning a monocular prediction to partial metric priors pixel by pixel, then refining with a conditioned network.
Object detection using depth completion and camera-lidar fusion for autonomous driving
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Depth Anything with Any Prior
Prior Depth Anything unifies depth completion, super-resolution, and inpainting by aligning a monocular prediction to partial metric priors pixel by pixel, then refining with a conditioned network.