[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
Effortless data labeling with AI support from Segment Anything and other awesome models.
Robust realtime face and facial landmark tracking on CPU with Unity integration
[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions
[CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
Monocular Depth Estimation Toolbox based on MMSegmentation.
Official implementation of Adabins: Depth Estimation using adaptive bins
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
Universal Monocular Metric Depth Estimation
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
[CVPR 2021] Self-supervised depth estimation from short sequences
Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)
Depth and Flow for Visual Odometry
Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
Prompt Depth Anything
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Convolutional Spatial Propagation Network
SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation Webpage:https://jiawangbian.github.io/sc_depth_pl/
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)
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