Statistics for topic monocular-depth-estimation

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

[CVPR 2025] Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera

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

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

[CVPR 2025] Video Depth without Video Models

[CVPR 2025] Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera

[MICCAI'2024] EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera

[CVPR 2025] Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail

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

[CVPR 2025] Video Depth without Video Models

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

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

[CVPR 2025] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos

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

Python tools for Generating and working metric 3D depth videos, 3D stereo video, side by side stereo video. Using 3d rendering and monocular depth estimation models and other ML models.

[CVPR 2025] Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera

[ICLR2025] GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models

[CVPR 2025] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos

ROS2 Wrapper for DepthAnything V2 model.

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

[CVPR 2025] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos

[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"

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

Python tools for Generating and working metric 3D depth videos, 3D stereo video, side by side stereo video. Using 3d rendering and monocular depth estimation models and other ML models.

[CVPR 2025] Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera

[CVPR 2025] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos

[CVPR 2025] Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail

[CVPR 2025] Official implementation of the solvers and estimators proposed in the paper "Relative Pose Estimation through Affine Corrections of Monocular Depth Priors"

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

[CVPR'25] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

[CVPR 2025] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos

[CVPR 2025] Video Depth without Video Models

[WACV'25 Oral] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

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

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

[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..."

[CVPR'25] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

[CVPR'25] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

[CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"

[ICLR2025] GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models

Python scripts performing Metric Monocular Depth Estimation using the Unidepth model in ONNX.

Monocular Depth Estimation Toolbox and Benchmark. [Arxiv'24 ScaleDepth, TCSVT'24 Plane2Depth, TIP'24 Binsformer]