[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
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Updated
May 9, 2024 - Python
[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"
Metric depth estimation from a single image
[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..."
Official implementation of Adabins: Depth Estimation using adaptive bins
Monocular Depth Prediction
[ECCV 2020] Learning stereo from single images using monocular depth estimation networks
PyTorch Implementation of introducing diffusion approach to 3D depth perception
Pydnet on mobile devices
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)
The code and data of DiverseDepth
EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Unofficial cpp and python implementation of depth-anything model using tensorrt api.
Structure-Guided Ranking Loss for Single Image Depth Prediction
[CVPR2020] BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion
[BMVC 2022] IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation in CVPR 2017 (Spotlight)
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
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