[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
- monocular-depth-estimation
Repository Index
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Sharp Monocular View Synthesis in Less Than a Second
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
- depth-estimation
- image-synthesis
- metric-depth-estimation
- monocular-depth-estimation
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
- monocular-depth-estimation
- diffusion
- in-the-wild
- zero-shot
Papers and Datasets about Point Cloud.
- point-cloud
- registration
- segmentation
- classification
TRI-ML Monocular Depth Estimation Repository
Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)
- 3d-tracking
- 3d-estimation
- monocular-3d-detection
- monocular-vehicle-tracking
Official implementation of FlowHMR, a generative model for physically plausible motion capture from monocular video.
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
- 3d-object-detection
- 3d-detection
- 3d-deep-learning
- pytorch