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

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"

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

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

MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

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

Monocular Depth Prediction

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

[WACV 2025] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

PyTorch Implementation of introducing diffusion approach to 3D depth perception ECCV 2024

TensorRT implementation of Depth-Anything V1, V2

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

Pydnet on mobile devices

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

The code and data of DiverseDepth

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

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