[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
[NeurIPS 2024] Depth Anything V2. A More Capable 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"
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Metric depth estimation from a single image
[CVPR'25 Oral] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
[CVPR 2025 Highlight] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
🌊 Images to 3D Parallax effect video
Official implementation of Adabins: Depth Estimation using adaptive bins
[CVPR 2025] RollingDepth: Video Depth without Video Models
[WACV'25 Oral] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Monocular Depth Prediction
C++ TensorRT implementation of Depth-Anything V1, V2
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
[ECCV 2020] Learning stereo from single images using monocular depth estimation networks
ROS2 TensorRT Node for Monocular Metric Depth estimation and Point Cloud generation from camera images with Depth Anything V3
PyTorch Implementation of introducing diffusion approach to 3D depth perception ECCV 2024
[CVPR 2025] Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
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