awesome-3D-vision
3D computer vision incuding SLAM，VSALM，Deep Learning，Structured light，Stereo，Three-dimensional reconstruction，Computer vision，Machine Learning and so on
https://github.com/Hardy-Uint/awesome-3D-vision
Last synced: 12 days ago
JSON representation
-
3D人脸重建
-
Datasets
- Nonlinear 3D Face Morphable Model
- On Learning 3D Face Morphable Model from In-the-wild Images
- Cascaded Regressor based 3D Face Reconstruction from a Single Arbitrary View Image
- JointFace Alignment and 3D Face Reconstruction
- Photo-Realistic Facial Details Synthesis From Single Image
- FML: Face Model Learning from Videos
- Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric
- Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
- Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning
- JointFace Alignment and 3D Face Reconstruction
- Photo-Realistic Facial Details Synthesis From Single Image
-
-
Books
-
Code
- Computer Vision: Models, Learning, and Inference - Simon J. D. Prince 2012
- Computer Vision: Theory and Application - Rick Szeliski 2010
- Visual Object Recognition synthesis lecture - Kristen Grauman and Bastian Leibe 2011
- Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics - Justin Solomon 2015
- Computer Vision: Models, Learning, and Inference - Simon J. D. Prince 2012
- Visual Object Recognition synthesis lecture - Kristen Grauman and Bastian Leibe 2011
- Computer Vision: A Modern Approach (2nd edition) - David Forsyth and Jean Ponce 2011
- High dynamic range imaging: acquisition, display, and image-based lighting - Reinhard, E., Heidrich, W., Debevec, P., Pattanaik, S., Ward, G., Myszkowski, K 2010
-
-
Courses
-
Code
- EENG 512 / CSCI 512 - Computer Vision - William Hoff (Colorado School of Mines)
- 3D Computer Vision: Past, Present, and Future
- Visual Object and Activity Recognition - Alexei A. Efros and Trevor Darrell (UC Berkeley)
- Convolutional Neural Networks for Visual Recognition - Fei-Fei Li and Andrej Karpathy (Stanford University)
- Computer Vision - Derek Hoiem (UIUC)
- Computer Vision: Foundations and Applications - Kalanit Grill-Spector and Fei-Fei Li (Stanford University)
- High-Level Vision: Behaviors, Neurons and Computational Models - Fei-Fei Li (Stanford University)
- Advances in Computer Vision - Antonio Torralba and Bill Freeman (MIT)
- Computer Vision - Bastian Leibe (RWTH Aachen University)
- Computer Vision 2 - Bastian Leibe (RWTH Aachen University)
- Computer Vision
- Computer Vision 1
- Computer Vision 2
- Convolutional Neural Networks for Visual Recognition - Fei-Fei Li and Andrej Karpathy (Stanford University)
- Computer Vision: Foundations and Applications - Kalanit Grill-Spector and Fei-Fei Li (Stanford University)
- High-Level Vision: Behaviors, Neurons and Computational Models - Fei-Fei Li (Stanford University)
- Advances in Computer Vision - Antonio Torralba and Bill Freeman (MIT)
- Computer Vision - Bastian Leibe (RWTH Aachen University)
- Computer Vision 2 - Bastian Leibe (RWTH Aachen University)
- Computer Vision
- Multiple View Geometry
- Multiple View Geometry
- Computer Vision - Steve Seitz (University of Washington)
- Computer Vision - Rob Fergus (NYU)
- Computer Vision - Derek Hoiem (UIUC)
-
-
Github link
-
Multi-view Stereo
-
Courses
- Computational Photography - Alexei A. Efros (CMU)
- Digital & Computational Photography - Fredo Durand (MIT)
- Courses in Graphics - Stanford University
- Introduction to Visual Computing - Kyros Kutulakos (University of Toronto)
- Computational Photography - Kyros Kutulakos (University of Toronto)
- Computational Photography - Derek Hoiem (UIUC)
- Image Manipulation and Computational Photography - Alexei A. Efros (UC Berkeley)
- Computational Photography - James Hays (Brown University)
- Image Manipulation and Computational Photography - Alexei A. Efros (UC Berkeley)
- Computational Photography - Alexei A. Efros (CMU)
- Computational Photography - Derek Hoiem (UIUC)
- Computational Photography - Irfan Essa (Georgia Tech)
- Introduction to Visual Computing - Kyros Kutulakos (University of Toronto)
- Computational Photography - Kyros Kutulakos (University of Toronto)
- Computational Photography - Derek Hoiem (UIUC)
- Image Manipulation and Computational Photography - Alexei A. Efros (UC Berkeley)
- Computational Photography - Rob Fergus (NYU)
- Introduction to Image Processing - Rich Radke (Rensselaer Polytechnic Institute)
- Computational Photography - Derek Hoiem (UIUC)
- Computational Photography - Derek Hoiem (UIUC)
-
paper
- Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume
- Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
- Point-Based Multi-View Stereo Network
- Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference
- NRMVS: Non-Rigid Multi-View Stereo
- Multi-View Stereo 3D Edge Reconstruction
- Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference
- 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)
- Accurate, Dense, and Robust Multiview Stereopsis
- State of the art in high density image matching
- Pixelwise View Selection for Unstructured Multi-View Stereo - M. Frahm. ECCV 2016.
- TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo
- 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
- Exploiting Visibility Information in Surface Reconstruction to Preserve Weakly Supported Surfaces
- A New Variational Framework for Multiview Surface Reconstruction
- 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
- 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
- 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
- Seamless image-based texture atlases using multi-band blending - P. Pons and R. Keriven. ICPR 2008.
- 3D Textured Model Encryption via 3D Lu Chaotic Mapping
- Photometric Bundle Adjustment for Dense Multi-View 3D Modeling
- Multi-View Inverse Rendering under Arbitrary Illumination and Albedo
- Stereo matching by training a convolutional neural network to compare image patches
- Surfacenet: An end-to-end 3d neural network for multiview stereopsis
- DeepMVS: Learning Multi-View Stereopsis
- Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency
- Point-based Multi-view Stereo Network
- Seamless image-based texture atlases using multi-band blending - P. Pons and R. Keriven. ICPR 2008.
- TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo
- Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume
- Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
- Point-Based Multi-View Stereo Network
- Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference
- NRMVS: Non-Rigid Multi-View Stereo
- Multi-View Stereo 3D Edge Reconstruction
- RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials
- Multi-View Stereo with Single-View Semantic Mesh Refinement
- Refinement of Surface Mesh for Accurate Multi-View Reconstruction
-
Project&code
- 多视角立体视觉MVS简介
- GPUIma + fusibile - contamination |
- HPMVS - contamination |
- PMVS - contamination |
- SMVS Shading-aware Multi-view Stereo - 3-Clause license |
-
Software
- Large-Scale Texturing of 3D Reconstructions
- Peter Kovesi's Matlab Functions for Computer Vision and Image Analysis
- MinimalSolvers - Minimal problems solver
- Multi-View Environment
- Visual SFM
- Bundler SFM
- openMVG: open Multiple View Geometry - Multiple View Geometry; Structure from Motion library & softwares
- OpenGV - geometric computer vision algorithms
- Visual SFM
- openMVG: open Multiple View Geometry - Multiple View Geometry; Structure from Motion library & softwares
- OpenGV - geometric computer vision algorithms
- Multi-View Stereo Reconstruction
-
-
Planar Reconstruction
-
SFM
-
Project&code
-
参考
- 基于单目视觉的三维重建算法综述
- Photo Tourism: Exploring Photo Collections in 3D
- Towards linear-time incremental structure from motion
- Structure-from-Motion Revisited
- Combining two-view constraints for motion estimation
- Lie-algebraic averaging for globally consistent motion estimation
- Robust rotation and translation estimation in multiview reconstruction
- Global motion estimation from point matches - Nachimson, S. Z. Kovalsky, I. KemelmacherShlizerman, A. Singer, and R. Basri. 3DIMPVT 2012.
- A Global Linear Method for Camera Pose Registration
- Global Structure-from-Motion by Similarity Averaging
- Linear Global Translation Estimation from Feature Tracks
- 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
- Hierarchical structure-and-motion recovery from uncalibrated images
- Parallel Structure from Motion from Local Increment to Global Averaging
- Multistage SFM : Revisiting Incremental Structure from Motion - > [Multistage SFM: A Coarse-to-Fine Approach for 3D Reconstruction](http://arxiv.org/abs/1512.06235), arXiv 2016.
- Robust Structure from Motion in the Presence of Outliers and Missing Data
- Photo Tourism: Exploring Photo Collections in 3D
- Towards linear-time incremental structure from motion
- Robust rotation and translation estimation in multiview reconstruction
- Global Structure-from-Motion by Similarity Averaging
- Efficient Structure from Motion by Graph Optimization
- Linear Global Translation Estimation from Feature Tracks
- Robust Structure from Motion in the Presence of Outliers and Missing Data
- HSfM: Hybrid Structure-from-Motion
-
-
TOF
-
Project&code
-
-
优秀开源项目汇总
-
单目图像
-
Project with code
- ECCV 2016
- ICCV 2017
- ICCV 2017
- ICCV 2017
- Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers
- SIGGRAPH Asia 2018
- 3dr2n2: A unified approach for single and multi-view 3d object Reconstruction
- Learning a predictable and generative vector representation for objects
- Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
- Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision - perspective-transformer-nets-learning-single-view-3d-object-reconstruction-without-3d-supervision.pdf) | Torch 7 |
- ECCV 2016
- Multi-view 3D Models from Single Images with a Convolutional Network - freiburg.de/Publications/2016/TDB16a/paper-mv3d.pdf) | Tensorflow |
- Single Image 3D Interpreter Network
- Weakly-Supervised Generative Adversarial Networks for 3D Reconstruction
- Hierarchical Surface Prediction for 3D Object Reconstruction
-
Programming Languages
Categories
Multi-view Stereo
87
点云匹配&配准&对齐&注册
84
点云数据集
69
立体视觉3D成像
39
结构光
36
视觉SLAM
34
单目图像
33
SFM
33
**场景合成/重建**
32
Courses
25
点云分割
23
数据格式不同
22
纹理/材料分析与合成
18
相机生产厂家汇总
15
点云识别&分类
12
3D人脸重建
11
Planar Reconstruction
10
点云三维重建
9
Books
8
点云其它
8
优秀开源项目汇总
6
Github link
3
点云去噪&滤波
3
点云线、面拟合
3
TOF
2
资源
1
点云目标检索
1
点云匹配质量评估
1
点云标注工具
1
相机技术&参数
1
Sub Categories
Keywords
computer-vision
7
3d-reconstruction
6
structure-from-motion
5
slam
5
deep-learning
4
reconstruction
4
geometry
3
c-plus-plus
3
neural-network
3
sfm
3
3d
3
multi-view-stereo
2
photogrammetry
2
opencv
2
structured-light
2
point-cloud
2
awesome-list
2
mesh
2
machine-learning
2
state-estimation
1
vins
1
vslam
1
augmented-reality
1
recurrent-networks
1
visual-inertial
1
visual-odometry
1
face-images
1
cpp
1
g2o
1
graph-optimization
1
deep-networks
1
deep-learning-tutorial
1
image-based-reconstruction
1
awesome
1
primitives
1
papers
1
voxel
1
neural-networks
1
books
1
computervision
1
learning
1
ros
1
constructive-solid-geometries
1
fusion
1
lidar-odometry
1
lidar-slam
1
mobile-robots
1
multiple-sensors
1
open-source
1
research-paper
1