DepthPro: Monocular Depth Estimation This is the transformers version of DepthPro, a foundation model for zero shot metric monocular depth estimation, designed to generate high resolution depth maps with remarkable sharpness and fine grained details. For the checkpoint compatible with the original codebase, please check this repo. Table of Contents DepthPro: Monocular Depth Estimation Table of Contents Model Details Model Sources How to Get Started with the Model Training Details Training Data Preprocessing Training Hyperparameters Evaluation Model Architecture and Objective Citation Model Card Authors Model Details DepthPro is a foundation model for zero shot metric monocular depth estimation, designed to generate high resolution depth maps with remarkable sharpness and fine grained details. It employs a multi scale Vision Transformer (ViT) based architecture, where images are downsampled, divided into patches, and processed using a shared Dinov2 encoder. The extracted patch level features are merged, upsampled, and refined using a DPT like fusion stage, enabling precise depth estimation. The abstract from the paper is the following: We present a foundation model for zero shot met…
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