Depth Pro: Sharp Monocular Metric Depth in Less Than a Second We present a foundation model for zero shot metric monocular depth estimation. Our model, Depth Pro, synthesizes high resolution depth maps with unparalleled sharpness and high frequency details. The predictions are metric, with absolute scale, without relying on the availability of metadata such as camera intrinsics. And the model is fast, producing a 2.25 megapixel depth map in 0.3 seconds on a standard GPU. These characteristics are enabled by a number of technical contributions, including an efficient multi scale vision transformer for dense prediction, a training protocol that combines real and synthetic datasets to achieve high metric accuracy alongside fine boundary tracing, dedicated evaluation metrics for boundary accuracy in estimated depth maps, and state of the art focal length estimation from a single image. Depth Pro was introduced in Depth Pro: Sharp Monocular Metric Depth in Less Than a Second , by Aleksei Bochkovskii, Amaël Delaunoy, Hugo Germain, Marcel Santos, Yichao Zhou, Stephan R. Richter, and Vladlen Koltun . The checkpoint in this repository is a reference implementation, which has been re trained…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy