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"
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Updated
Feb 14, 2024 - Python
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
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
Monocular Depth Prediction
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
[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
[CVPR2020] BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)
Official Repo for the paper "Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods" (TMI)
[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
official implementation of "Visualization of Convolutional Neural Networks for Monocular Depth Estimation"
The code and data of DiverseDepth
Unofficial cpp and python implementation of depth-anything model using tensorrt api.
[BMVC 2021] ''Self-Supervised Monocular Depth Estimation with Internal Feature Fusion''
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