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awesome_3DReconstruction_list
A curated list of papers & resources linked to 3D reconstruction from images.
https://github.com/openMVG/awesome_3DReconstruction_list
Last synced: 3 days ago
JSON representation
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SLAM Tutorial & survey
- Micro Flying Robots: from Active Vision to Event-based Vision
- ICRA 2016 Aerial Robotics - (Visual odometry)
- Visual Odometry: Part I - The First 30 Years and Fundamentals
- Visual Odometry: Part II - Matching, robustness, optimization, and applications
- Large-scale, real-time visual-inertial localization revisited
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SfM tutorial
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MVS tutorial
- Multi-View Stereo: A Tutorial
- State of the Art 3D Reconstruction Techniques - [Large scale MVS](http://www.cse.wustl.edu/~furukawa/papers/cvpr2014_tutorial_large_scale_mvs.pdf)
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RGB-D mapping
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All in one tutorial
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Computer vision books
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SLAM/VO
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Visual odometry (image based only)
- Real-time simultaneous localisation and mapping with a single camera
- Visual odometry
- Real time localization and 3d reconstruction
- Parallel Tracking and Mapping for Small AR Workspaces
- Real-Time 6-DOF Monocular Visual SLAM in a Large-scale Environments
- Direct Sparse Odometry
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- ∇SLAM: Dense SLAM meets Automatic Differentiation
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
- Visual SLAM algorithms: a survey from 2010 to 2016
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SfM papers
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Incremental SfM
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Global SfM
- Combining two-view constraints for motion estimation
- Lie-algebraic averaging for globally consistent motion estimation
- Robust rotation and translation estimation in multiview reconstruction
- Non-sequential structure from motion
- Global motion estimation from point matches - Nachimson, S. Z. Kovalsky, I. KemelmacherShlizerman, A. Singer, and R. Basri. 3DIMPVT 2012.
- Global Fusion of Relative Motions for Robust, Accurate and Scalable Structure from Motion
- A Global Linear Method for Camera Pose Registration
- Global Structure-from-Motion by Similarity Averaging
- Linear Global Translation Estimation from Feature Tracks
- Non-sequential structure from motion
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Hierarchical SfM
- Structure-and-Motion Pipeline on a Hierarchical Cluster Tree - D Digital Imaging and Modeling, 2009.
- Randomized Structure from Motion Based on Atomic 3D Models from Camera Triplets
- Efficient Structure from Motion by Graph Optimization
- Hierarchical structure-and-motion recovery from uncalibrated images
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Multi-Stage SfM
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Non Rigid SfM
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Viewing graph optimization
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Unordered feature tracking
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Large scale image matching for SfM
- Video Google: A Text Retrieval Approach to Object Matching in Video
- Scalable Recognition with a Vocabulary Tree
- Building Rome in a Day
- Product quantization for nearest neighbor search
- Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction
- Recent developments in large-scale tie-point matching
- Graphmatch: Efficient Large-Scale Graph Construction for Structure from Motion
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Localization
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Real time localization in SfM reconstructions
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Multiple View Stereovision
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Point cloud computation
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Surface computation & refinements
- Efficient Multi-View Reconstruction of Large-Scale Scenes using Interest Points, Delaunay Triangulation and Graph Cuts - P. Pons, R. Keriven. ICCV 2007
- Multi-View Stereo via Graph Cuts on the Dual of an Adaptive Tetrahedral Mesh
- Towards high-resolution large-scale multi-view stereo - H. Vu, P. Labatut, J.-P. Pons, R. Keriven. CVPR 2009.
- Refinement of Surface Mesh for Accurate Multi-View Reconstruction
- High Accuracy and Visibility-Consistent Dense Multiview Stereo - H. Vu, P. Labatut, J.-P. Pons, R. Keriven. Pami 2012.
- Exploiting Visibility Information in Surface Reconstruction to Preserve Weakly Supported Surfaces
- Floating Scale Surface Reconstruction
- A New Variational Framework for Multiview Surface Reconstruction
- Photometric Bundle Adjustment for Dense Multi-View 3D Modeling
- Global, Dense Multiscale Reconstruction for a Billion Points
- Efficient Multi-view Surface Refinement with Adaptive Resolution Control
- Multi-View Inverse Rendering under Arbitrary Illumination and Albedo
- Shading-aware Multi-view Stereo
- Scalable Surface Reconstruction from Point Clouds with Extreme Scale and Density Diversity
- Multi-View Stereo with Single-View Semantic Mesh Refinement
- Out-of-Core Surface Reconstruction via Global T GV Minimization
- Multi-View Stereo with Single-View Semantic Mesh Refinement
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Machine Learning based MVS
- Matchnet: Unifying feature and metric learning for patch-based matching
- Efficient deep learning for stereo matching
- Learning a multi-view stereo machine
- Learned multi-patch similarity
- RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials
- MVSNet: Depth Inference for Unstructured Multi-view Stereo
- DPSNET: END-TO-END DEEP PLANE SWEEP STEREO - Gon Jeon, Stephen Lin, In So Kweon. 2019.
- Point-based Multi-view Stereo Network
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Multiple View Mesh Texturing
- Seamless image-based texture atlases using multi-band blending - P. Pons and R. Keriven. ICPR 2008.
- Let There Be Color! - Large-Scale Texturing of 3D Reconstructions
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UAV Trajectory Optimization for model completeness
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OpenSource SfM (Structure from Motion)
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UAV Trajectory Optimization for model completeness
- MicMac - B |
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OpenSource MVS (Multiple View Stereovision)
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UAV Trajectory Optimization for model completeness
- GPUIma + fusibile - contamination|
- MICMAC - B |
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OpenSource SLAM (Simultaneous Localization And Mapping)
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UAV Trajectory Optimization for model completeness
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OpenSource minimization
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Nearest Neighbor Search
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Mesh storage processing
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Features detection/Description
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Feature detection/description repeatability
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"Real time" oriented methods
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Corresponding interest point patches for descriptor learning
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"Real time" oriented methods
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MVS - Point Cloud - Surface accuracy
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"Real time" oriented methods
- Middlebury Multi-view Stereo - View Stereo Reconstruction Algorithms". CVPR 2006.
- Dense MVS - View Stereo for High Resolution Imagery". CVPR 2008.
- A Multi-View Stereo Benchmark with High-Resolution Images and Multi-Camera Videos in Unstructured Scenes
- Tanks and Temples: Benchmarking Large-Scale Scene Reconstruction
- ![CCBY-SA
- Pierre Moulon
- ![CCBY-SA
- DTU - Robot Image Data Sets -MVS Data Set - view Stereopsis Evaluation“. CVPR 2014.
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Monocular odometry dataset
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"Real time" oriented methods
- Mono dataset - world sequences. Dataset linked to the DSO Visual Odometry paper.
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Categories
SLAM/VO
57
SfM papers
34
Multiple View Stereovision
33
Mesh storage processing
8
MVS - Point Cloud - Surface accuracy
8
Features detection/Description
6
SLAM Tutorial & survey
5
Localization
4
RGB-D mapping
2
OpenSource minimization
2
Nearest Neighbor Search
2
Feature detection/description repeatability
2
MVS tutorial
2
OpenSource MVS (Multiple View Stereovision)
2
Monocular odometry dataset
1
OpenSource SLAM (Simultaneous Localization And Mapping)
1
All in one tutorial
1
SfM tutorial
1
Computer vision books
1
OpenSource SfM (Structure from Motion)
1
Corresponding interest point patches for descriptor learning
1
Sub Categories
Visual odometry (image based only)
57
UAV Trajectory Optimization for model completeness
20
Surface computation & refinements
17
"Real time" oriented methods
15
Global SfM
10
Machine Learning based MVS
8
Large scale image matching for SfM
7
Point cloud computation
5
Real time localization in SfM reconstructions
4
Multi-Stage SfM
4
Hierarchical SfM
4
Viewing graph optimization
3
Incremental SfM
3
Unordered feature tracking
2
Multiple View Mesh Texturing
2
Non Rigid SfM
1