Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

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

事件相机知识点汇总
线阵相机标定方法综述
相机标定误差因素分析
Fully automatic camera calibration method based on circular markers基于圆形标志点的全自动相机标定方法
Accurate camera calibration using iterative refinement of control points
Accurate Feature Extraction and Control Point Correction for Camera Calibration with a Mono-Plane Target
基于主动红外辐射标定板的超广角红外相机标定
基于相位标靶的相机标定
基于广义成像模型的Scheimpflug相机标定方法
多几何约束下的鱼眼相机单像高精度标定
一种新的机器人手眼关系标定方法
基于张正友标定法的红外靶标系统
https://github.com/timzhang642/3D-Machine-Learning
https://github.com/OpenSLAM/awesome-SLAM-list
https://github.com/tzutalin/awesome-visual-slam
Recent_SLAM_Research
https://github.com/youngguncho/awesome-slam-datasets
https://github.com/marknabil/SFM-Visual-SLAM
https://github.com/ckddls1321/SLAM_Resources
Simultaneous Localization and Mapping for Mobile Robots: Introduction and Methods - Antonio Fernández-Madrigal and José Luis Blanco Claraco, 2012
Simultaneous Localization and Mapping: Exactly Sparse Information Filters
An Invitation to 3-D Vision -- from Images to Geometric Models
Multiple View Geometry in Computer Vision
Numerical Optimization
SLAM Tutorial@ICRA 2016
Geometry and Beyond - Representations, Physics, and Scene Understanding for Robotics
Robotics - UPenn
Robot Mapping - UniFreiburg - 2016)
Robot Mapping - UniBonn
Introduction to Mobile Robotics - UniFreiburg - 2016)
Computer Vision II: Multiple View Geometry - TUM
Advanced Robotics - UCBerkeley
Mapping, Localization, and Self-Driving Vehicles
The Problem of Mobile Sensors: Setting future goals and indicators of progress for SLAM
Robotics - UPenn
Autonomous Navigation for Flying Robots
Robust and Efficient Real-time Mapping for Autonomous Robots
KinectFusion - Real-time 3D Reconstruction and Interaction Using a Moving Depth Camera
ORB-SLAM
LSD-SLAM
ORB-SLAM2
DVO: Dense Visual Odometry
SVO: Semi-Direct Monocular Visual Odometry
G2O: General Graph Optimization
RGBD-SLAM
COSLAM
DSO-Direct Sparse Odometry
DTSLAM-Deferred Triangulation SLAM
LSD-SLAM
MAPLAB-ROVIOLI
OKVIS: Open Keyframe-based Visual-Inertial SLAM
ORB-SLAM
REBVO - Realtime Edge Based Visual Odometry for a Monocular Camera
SVO semi-direct Visual Odometry
Computer Vision: Models, Learning, and Inference - Simon J. D. Prince 2012
Computer Vision: Theory and Application - Rick Szeliski 2010
Computer Vision: A Modern Approach (2nd edition) - David Forsyth and Jean Ponce 2011
Multiple View Geometry in Computer Vision - Richard Hartley and Andrew Zisserman 2004
Visual Object Recognition synthesis lecture - Kristen Grauman and Bastian Leibe 2011
Computer Vision for Visual Effects - Richard J. Radke, 2012
High dynamic range imaging: acquisition, display, and image-based lighting - Reinhard, E., Heidrich, W., Debevec, P., Pattanaik, S., Ward, G., Myszkowski, K 2010
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics - Justin Solomon 2015
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)
Computer Vision - Steve Seitz (University of Washington)
Spring 2016 - fall2016/) - Kristen Grauman (UT Austin)
Language and Vision - Tamara Berg (UNC Chapel Hill)
Convolutional Neural Networks for Visual Recognition - Fei-Fei Li and Andrej Karpathy (Stanford University)
Computer Vision - Rob Fergus (NYU)
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
Multiple View Geometry
https://github.com/ChristosChristofidis/awesome-deep-learning
https://github.com/endymecy/awesome-deeplearning-resources
https://github.com/josephmisiti/awesome-machine-learning
Semantic.editor
基于K-近邻点云去噪算法的研究与改进
Point cloud denoising based on tensor Tucker decomposition
3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model
基于最小二乘的点云叶面拟合算法研究
点云曲面边界线的提取
3D ShapeNets: A Deep Representation for Volumetric Shapes
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
[ICCV2017
[ICRA2017
[IROS2017
[CVPR2018
[CVPR2018 - Net: Self-Organizing Network for Point Cloud Analysis.
[CVPR2018 - Scale Place Recognition.
[CVPR2018
[CVPR2019
[MM - Modal Joint Networks for 3D Shape Recognition.
An ICP variant using a point-to-line metric
Generalized-ICP
Linear Least-Squares Optimization for Point-to-Plane ICP Surface Registration
Metric-Based Iterative Closest Point Scan Matching for Sensor Displacement Estimation
NICP: Dense Normal Based Point Cloud Registration
Efficient Global Point Cloud Alignment using Bayesian Nonparametric Mixtures
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
[CVPR2018
[CVPR2018
[CVPR2018
[ECCV2018 - View Descriptors for Registration of Point Clouds.
[ECCV2018 - Net: Weakly Supervised Local 3D Features for Point Cloud Registration.
[ECCV2018
[IROS2018
[CVPR2019
[CVPR2019 - Based Randomized Approach for Robust Point Cloud Registration without Correspondences.
[CVPR2019
[CVPR - Set Registration using Gaussian Filter and Twist Parameterization.
[CVPR2019
[ICCV2019 - to-End Deep Neural Network for 3D Point Cloud Registration.
[ICCV2019
[ICRA2019 - MatchNet: Learning to Match Keypoints across 2D Image and 3D Point Cloud.
[CVPR2019
[CVPR2019
[ICCV2019
[ICRA2019 - overlap 3-D point cloud registration for outlier rejection.
[IROS2017
基于局部表面凸性的散乱点云分割算法研究
三维散乱点云分割技术综述
基于聚类方法的点云分割技术的研究
SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor
From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation
JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
[ICRA2017
[3DV2017
[CVPR2018
[CVPR2018
[CVPR2018 - scale Point Cloud Semantic Segmentation with Superpoint Graphs.
[ECCV2018
[CVPR2019 - Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields.
[CVPR2019 - grained and Hierarchical Shape Segmentation.
[ICCV2019 - Task Metric Learning.
[IROS2019
人脸识别
改进的点云数据三维重建算法
Scalable Surface Reconstruction from Point Clouds with Extreme Scale and Density Diversity,CVPR2017
[ICCV2017
[ICCV2017
[ECCV2018
[ECCV2018
[AAAI2018
[CVPR2019 - Scale Outdoor Scenes.
[AAAI2019
[MM - encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention.
[CVPR2018 - Scale 3D Point Clouds.
[ICML2018
[3DV
[CVPR2019 - scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding.
[CVPR2019 - Invariant Representation for Point Cloud Analysis.
[ICCV2019 - Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis.
[ICRA2019
[KITTI
[ModelNet
[ShapeNet
[PartNet
[PartNet
[S3DIS - Scale 3D Indoor Spaces Dataset.
[ScanNet - annotated 3D Reconstructions of Indoor Scenes.
[Stanford 3D
[UWA Dataset
[Princeton Shape Benchmark
[SYDNEY URBAN OBJECTS DATASET - 64E LIDAR, collected in the CBD of Sydney, Australia. There are 631 individual scans of objects across classes of vehicles, pedestrians, signs and trees.
[ASL Datasets Repository(ETH)
[Large-Scale Point Cloud Classification Benchmark(ETH)
[Robotic 3D Scan Repository - dimensional laser scans gathered at two unique planetary analogue rover test facilities in Canada.
[Radish
[IQmulus & TerraMobilita Contest
[Oakland 3-D Point Cloud Dataset - D point cloud laser data collected from a moving platform in a urban environment.
[Robotic 3D Scan Repository
[Ford Campus Vision and Lidar Data Set - 250 pickup truck.
[The Stanford Track Collection - 64E S2 LIDAR.
[PASCAL3D+
[3D MNIST
[WAD
[nuScenes - scale autonomous driving dataset.
[PreSIL - wise segmentation (point clouds), ground point labels (point clouds), and detailed annotations for all vehicles and people. [[paper](https://arxiv.org/abs/1905.00160)]
[3D Match - D Reconstruction Datasets.
[BLVD
[PedX - resolution (12MP) stereo images and LiDAR data along with providing 2D and 3D labels of pedestrians. [[ICRA 2019 paper](https://arxiv.org/abs/1809.03605)]
[H3D - surround 3D multi-object detection and tracking dataset. [[ICRA 2019 paper](https://arxiv.org/abs/1903.01568)]
[Matterport3D - D: 10,800 panoramic views from 194,400 RGB-D images. Annotations: surface reconstructions, camera poses, and 2D and 3D semantic segmentations. Keypoint matching, view overlap prediction, normal prediction from color, semantic segmentation, and scene classification. [[3DV 2017 paper](https://arxiv.org/abs/1709.06158)] [[code](https://github.com/niessner/Matterport)] [[blog](https://matterport.com/blog/2017/09/20/announcing-matterport3d-research-dataset/)]
[SynthCity
[Lyft Level 5 - labelled 3D bounding boxes of traffic agents, an underlying HD spatial semantic map.
[SemanticKITTI
[NPM3D - Lille-3D has been produced by a Mobile Laser System (MLS) in two different cities in France (Paris and Lille).
[The Waymo Open Dataset - driving cars in a wide variety of conditions.
[A*3D: An Autonomous Driving Dataset in Challeging Environments
[PointDA-10 Dataset
[Oxford Robotcar
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
Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs
Multi-view Supervision for Single-view Reconstruction via Differentiable Ray Consistency
SurfNet: Generating 3D shape surfaces using deep residual networks
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis - ps.github.io/O-CNN_files/CNN3D.pdf) | Caffe |
ICCV 2017
ICCV 2017
ICCV 2017
Learning a Hierarchical Latent-Variable Model of 3D Shapes
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction - point-cloud-generation/paper.pdf) | Tensorflow |
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image - camera_ready.pdf) | Tensorflow |
Image2Mesh: A Learning Framework for Single Image 3DReconstruction
Neural 3D Mesh Renderer
Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction
Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
Multiresolution Tree Networks for 3D Point Cloud Processing
SIGGRAPH Asia 2018
Learning Implicit Fields for Generative Shape Modeling
Occupancy Networks: Learning 3D Reconstruction in Function Space
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
https://zhuanlan.zhihu.com/p/29971801
结构光三维表面成像：综述（一）
结构光三维表面成像：综述（二）
结构光三维表面成像：综述（三）
Structured-light 3D surface imaging: a tutorial
机器人视觉三维成像技术综述
**Build Your Own 3D Scanner: Optical Triangulation for Beginners**
https://github.com/nikolaseu/thesis
**CS6320 3D Computer Vision**, Spring 2015
高效线结构光视觉测量系统标定方法
一种新的线结构光标定方法
一种结构光三维成像系统的简易标定方法
基于单应性矩阵的线结构光系统简易标定方法
线结构光标定方法综述
三线结构光视觉传感器现场标定方法
单摄像机单投影仪结构光三维测量系统标定方法
超大尺度线结构光传感器内外参数同时标定
单摄像机单投影仪结构光三维测量系统标定方法
三维空间中线结构光与相机快速标定方法
线结构光传感系统的快速标定方法
Enhanced phase measurement profilometry for industrial 3D inspection automation
Profilometry of three-dimensional discontinuous solids by combining two-steps temporal phase unwrapping, co-phased profilometry and phase-shifting interferometry
High-speed 3D image acquisition using coded structured light projection
Accurate 3D measurement using a Structured Light System
Structured light stereoscopic imaging with dynamic pseudo-random patterns
Robust one-shot 3D scanning using loopy belief propagation
Robust Segmentation and Decoding of a Grid Pattern for Structured Light
Rapid shape acquisition using color structured light and multi-pass dynamic programming
Absolute phase mapping for one-shot dense pattern projection
https://github.com/jakobwilm/slstudio
https://github.com/phreax/structured_light
https://github.com/nikolaseu/neuvision
https://github.com/pranavkantgaur/3dscan
立体视觉书籍推荐&立体匹配十大概念综述---立体匹配算法介绍
【关于立体视觉的一切】立体匹配成像算法BM，SGBM，GC，SAD一览
StereoVision--立体视觉（1）
StereoVision--立体视觉（2）
StereoVision--立体视觉（3）
StereoVision--立体视觉（4）
StereoVision--立体视觉（5）
双目立体视觉的研究现状及进展
双目立体视觉匹配技术综述
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch
Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning
PMSC: PatchMatch-Based Superpixel Cut for Accurate Stereo Matching
Exact Bias Correction and Covariance Estimation for Stereo Vision
Efficient minimal-surface regularization of perspective depth maps in variational stereo
Event-Driven Stereo Matching for Real-Time 3D Panoramic Vision
Leveraging Stereo Matching with Learning-based Confidence Measures
Graph Cut based Continuous Stereo Matching using Locally Shared Labels
Cross-Scale Cost Aggregation for Stereo Matching
Fast Cost-Volume Filtering for Visual Correspondence and Beyond
Constant Time Weighted Median Filtering for Stereo Matching and Beyond
A non-local cost aggregation method for stereo matching
On building an accurate stereo matching system on graphics hardware
Efficient large-scale stereo matching
Accurate, dense, and robust multiview stereopsis
A constant-space belief propagation algorithm for stereo matching
Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion handling
Cost aggregation and occlusion handling with WLS in stereo matching
Stereo matching: An outlier confidence approach
A region based stereo matching algorithm using cooperative optimization
Multi-view stereo for community photo collections
A performance study on different cost aggregation approaches used in real-time stereo matching
基于单目视觉的三维重建算法综述
Open Source Structure-from-Motion - opensfm).
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
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
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
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.
HSfM: Hybrid Structure-from-Motion
Robust Structure from Motion in the Presence of Outliers and Missing Data
Bundler - contamination |
Colmap - clause license - Permissive (Can use CGAL -> GNU General Public License - contamination) |
TeleSculptor - Clause license - Permissive |
MicMac - B |
MVE - Clause license + parts under the GPL 3 license |
OpenMVG - Permissive |
OpenSfM - Permissive |
TheiaSfM - Permissive |
ToF技术是什么？和结构光技术又有何区别?
3D相机--TOF相机
多视角立体视觉MVS简介
Colmap - clause license - Permissive (Can use CGAL -> GNU General Public License - contamination) |
GPUIma + fusibile - contamination |
HPMVS - contamination |
MICMAC - B |
MVE - Clause license + parts under the GPL 3 license |
OpenMVS
PMVS - contamination |
SMVS Shading-aware Multi-view Stereo - 3-Clause license |
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
Progressive prioritized multi-view stereo
Pixelwise View Selection for Unstructured Multi-View Stereo - M. Frahm. ECCV 2016.
TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo
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
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
Matchnet: Unifying feature and metric learning for patch-based matching
Stereo matching by training a convolutional neural network to compare image patches
Efficient deep learning for stereo matching
Learning a multi-view stereo machine
Learned multi-patch similarity
Surfacenet: An end-to-end 3d neural network for multiview stereopsis
DeepMVS: Learning Multi-View Stereopsis
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials
MVSNet: Depth Inference for Unstructured Multi-view Stereo
Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency
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.
Let There Be Color! - Large-Scale Texturing of 3D Reconstructions
3D Textured Model Encryption via 3D Lu Chaotic Mapping
Image Manipulation and Computational Photography - Alexei A. Efros (UC Berkeley)
Computational Photography - Alexei A. Efros (CMU)
Computational Photography - Derek Hoiem (UIUC)
Computational Photography - James Hays (Brown University)
Digital & Computational Photography - Fredo Durand (MIT)
Computational Camera and Photography - Ramesh Raskar (MIT Media Lab)
Computational Photography - Irfan Essa (Georgia Tech)
Courses in Graphics - Stanford University
Computational Photography - Rob Fergus (NYU)
Introduction to Visual Computing - Kyros Kutulakos (University of Toronto)
Computational Photography - Kyros Kutulakos (University of Toronto)
Computer Vision for Visual Effects - Rich Radke (Rensselaer Polytechnic Institute)
Introduction to Image Processing - Rich Radke (Rensselaer Polytechnic Institute)
MATLAB Functions for Multiple View Geometry
Peter Kovesi's Matlab Functions for Computer Vision and Image Analysis
OpenGV - geometric computer vision algorithms
MinimalSolvers - Minimal problems solver
Multi-View Environment
Visual SFM
Bundler SFM
openMVG: open Multiple View Geometry - Multiple View Geometry; Structure from Motion library & softwares
Patch-based Multi-view Stereo V2
Clustering Views for Multi-view Stereo
Floating Scale Surface Reconstruction
Large-Scale Texturing of 3D Reconstructions
Multi-View Stereo Reconstruction
PlaneRCNN
PlanarReconstruction - lab/PlanarReconstruction)]
Planerecover
PlaneNet - programmer/PlaneNet)]
[Train - kreGQQLSRNF66t447R9WgDqsTh-3/view)]
[Link
[Link
[Link
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
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[Paper\ - centric-scene-synthesis)
[Paper\ - programmer.github.io/floornet.html)
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[Paper\ - lab/PlanarReconstruction)
[Paper\
Survey on Visual Servoing for Manipulation
Kinematics-based incremental visual servo for robotic capture of non-cooperative target
Position and attitude control of Eye-In-Hand System by visual servoing using Binocular Visual Space
A hybrid positioning method for eye-in-hand industrial robot by using 3D reconstruction and IBVS
Moment-Based 2.5-D Visual Servoing for Textureless Planar Part Grasping
HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion
Sparse and noisy LiDAR completion with RGB guidance and uncertainty
3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization
Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion
Confidence Propagation through CNNs for Guided Sparse Depth Regression
Learning Guided Convolutional Network for Depth Completion
DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance
PLIN: A Network for Pseudo-LiDAR Point Cloud Interpolation
Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints

Programming Languages

C++ 27 Python 22 Lua 4 Matlab 2 Cuda 1 C 1 TeX 1 MATLAB 1 JavaScript 1 Objective-C 1

Keywords

computer-vision 7 3d-reconstruction 7 slam 5 deep-learning 5 structure-from-motion 4 reconstruction 4 3d 3 neural-network 3 geometry 3 c-plus-plus 3 point-cloud 2 structured-light 2 opencv 2 sfm 2 machine-learning 2 mesh 2 photogrammetry 2 awesome-list 2 3d-vision 1 geometry-processing 1 cvpr2018 1 3d-deep-learning 1 bundle-adjustment 1 multiview-learning 1 computer-vision-tools 1 pytorch 1 image-reconstruction 1 generative-model 1 3d-shapes 1 cpp 1 g2o 1 graph-optimization 1 mapping 1 not-matlab 1 awesome 1 deep-learning-tutorial 1 deep-networks 1 face-images 1 recurrent-networks 1 code 1 corpus 1 modelzoo 1 nlp 1 paper 1 reinforcement-learning 1 video 1 3d-graphics 1 3d-models 1 nips-2016 1 shapenet 1