This work presents Depth Anything, a highly practical solution for robust monocular depth estimation. Without pursuing novel technical modules, we aim to build ...
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Jun 14, 2024 · Depth Anything V2 is trained from 595K synthetic labeled images and 62M+ real unlabeled images, providing the most capable monocular depth ...
Welcome to Depth Anything. This is the organization of Depth Anything, which refers to a series of foundation models built for depth estimation.
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Depth Anything V2 is trained from 595K synthetic labeled images and 62M+ real unlabeled images, providing the most capable monocular depth estimation (MDE) ...
It is used to instantiate a DepthAnything model according to the specified arguments, defining the model architecture. Instantiating a configuration with the ...
Jan 26, 2024 · Depth Anything models, foundation models for monocular depth estimation, trained on 1.5 million labeled images and 62 million unlabeled images.
This model represents a fine-tuned version of Depth Anything V2 for outdoor metric depth estimation using the synthetic Virtual KITTI datasets. The model ...
This work presents Depth Anything, a highly practical solution for robust monocular depth estimation by training on a combination of 1.5M labeled images and 62 ...