[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
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Updated
Jul 17, 2024 - Python
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Metric depth estimation from a single image
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
Official implementation of Adabins: Depth Estimation using adaptive bins
[CVPR 2025] Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
[CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"
run DROID-SLAM with Metric3D to improve monocular performance
Official implementation for HybridDepth Model [WACV 2025, ISMAR 2024]
ROS2 Wrapper for DepthAnything V2 model.
Python scripts performing Metric Monocular Depth Estimation using the Unidepth model in ONNX.
A Gradio web UI for Depth-Pro, Sharp Monocular Metric Depth Estimation
[ECCV 2026] AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World
ArduMonoNav: MAV Navigation via Monocular Depth Estimation and Reconstruction
Staged fine-tuning of YOLO26-Depth and Depth Anything V2 for indoor monocular metric depth estimation — NYUv2 → ScanNet → real lab/office environments, for robotics deployment.
Image depth estimation using pretrained ZoeDepth model with CLI and web API support. A production-ready implementation for generating depth maps from single images, featuring both command-line interface and REST API endpoints with Docker containerization for easy deployment.
Uncertainty-aware Mamba-Transformer fusion for metric depth estimation
Fine-tuned version of Multi-Model-Monocular-Depth-Estimation-for-ROS-2 — ROS 2 (Humble) package for YOLO26 Depth and Depth Anything V2, using checkpoints fine-tuned on NYU Depth V2 and ScanNet (hosted on Hugging Face) instead of base pretrained weights.
this notebook explains how to use yolov8 for object detection and Depth Pro model for depth estimation
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