Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

Metric depth estimation from a single image

Official implementation of Adabins: Depth Estimation using adaptive bins

[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

Monocular Depth Prediction

[ECCV 2020] Learning stereo from single images using monocular depth estimation networks

EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner

Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation in CVPR 2017 (Spotlight)

Pydnet on mobile devices

Simultaneous Visual Odometry, Object Detection, and Instance Segmentation

TensorRT implementation of Depth-Anything V1, V2

🌊 Images to → 2.5D Parallax Effect Video. A Free and Open Source ImmersityAI alternative

[CVPR2020] BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion

Official Repo for the paper "Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods" (TMI)

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)

ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance