相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A general deep learning based framework for 3D reconstruction from multi-view stereo satellite images
Jian Gao et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2023)
Multiple View Stereo with quadtree-guided priors
Elisavet Konstantina Stathopoulou et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2023)
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry
Davide Marelli et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2023)
Neural Radiance Fields Explode on the Scene
Frank Dellaert
COMMUNICATIONS OF THE ACM (2022)
A comparative study on deep-learning methods for dense image matching of multi-angle and multi-date remote sensing stereo-images
Hessah Albanwan et al.
PHOTOGRAMMETRIC RECORD (2022)
MVSTER: Epipolar Transformer for Efficient Multi-view Stereo
Xiaofeng Wang et al.
COMPUTER VISION, ECCV 2022, PT XXXI (2022)
GeoNeRF: Generalizing NeRF with Geometry Priors
Mohammad Mahdi Johari et al.
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022) (2022)
IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo
Fangjinhua Wang et al.
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2022)
RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo
Junhua Xi et al.
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2022)
MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions
Zhenpei Yang et al.
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2022)
Generalized Binary Search Network for Highly-Efficient Multi-View Stereo
Zhenxing Mi et al.
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2022)
Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation
Rui Peng et al.
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2022)
Depth-supervised NeRF: Fewer Views and Faster Training for Free
Kangle Deng et al.
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2022)
TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers
Yikang Ding et al.
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2022)
Multi-view stereo in the Deep Learning Era: A comprehensive revfiew
Xiang Wang et al.
DISPLAYS (2021)
Semantically Derived Geometric Constraints for MVS Reconstruction of Textureless Areas
Elisavet Konstantina Stathopoulou et al.
REMOTE SENSING (2021)
DP-MVS: Detail Preserving Multi-View Surface Reconstruction of Large-Scale Scenes
Liyang Zhou et al.
REMOTE SENSING (2021)
Attention aware cost volume pyramid based multi-view stereo network for 3D reconstruction
Anzhu Yu et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)
M3VSNET: UNSUPERVISED MULTI-METRIC MULTI-VIEW STEREO NETWORK
Baichuan Huang et al.
2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) (2021)
PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility
Jae Yong Lee et al.
2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021) (2021)
EPP-MVSNet: Epipolar-assembling based Depth Prediction for Multi-view Stereo
Xinjun Ma et al.
2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021) (2021)
Self-supervised Learning of Depth Inference for Multi-view Stereo
Jiayu Yang et al.
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021 (2021)
Long-range Attention Network for Multi-View Stereo
Xudong Zhang et al.
2021 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION WACV 2021 (2021)
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
Jonathan T. Barron et al.
2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021) (2021)
Depth-map completion for large indoor scene reconstruction
Hongmin Liu et al.
PATTERN RECOGNITION (2020)
Review of Stereo Matching Algorithms Based on Deep Learning
Kun Zhou et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2020)
BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo
Christian Sormann et al.
2020 INTERNATIONAL CONFERENCE ON 3D VISION (3DV 2020) (2020)
DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction
Andreas Kuhn et al.
2020 INTERNATIONAL CONFERENCE ON 3D VISION (3DV 2020) (2020)
Mesh-Guided Multi-View Stereo with Pyramid Architecture
Yuesong Wang et al.
2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2020)
MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction
Zhenyu Xu et al.
2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2020)
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo
Jiayu Yang et al.
2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2020)
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement
Zehao Yu et al.
2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2020)
Plane Completion and Filtering for Multi-View Stereo Reconstruction
Andreas Kuhn et al.
PATTERN RECOGNITION, DAGM GCPR 2019 (2019)
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch
Shivam Duggal et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
P-MVSNet: Learning Patch-wise Matching Confidence Aggregation for Multi-View Stereo
Keyang Luo et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
MVSCRF: Learning Multi-view Stereo with Conditional Random Fields
Youze Xue et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
Depth Coefficients for Depth Completion
Saif Imran et al.
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)
Multi-Scale Geometric Consistency Guided Multi-View Stereo
Qingshan Xu et al.
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)
LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation
Sunok Kim et al.
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)
Stereo Magnification: Learning view synthesis using multiplane images
Tinghui Zhou et al.
ACM TRANSACTIONS ON GRAPHICS (2018)
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials
Despoina Paschalidou et al.
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach
Nikolai Smolyanskiy et al.
PROCEEDINGS 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW) (2018)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
End-to-End Training of Hybrid CNN-CRF Models for Stereo
Patrick Knoebelreiter et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Unsupervised Learning of Stereo Matching
Chao Zhou et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
Learned Multi-Patch Similarity
Wilfried Hartmann et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
Semantically Informed Multiview Surface Refinement
Maros Blaha et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
Multi-View Stereo with Single-View Semantic Mesh Refinement
Andrea Romanoni et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2017) (2017)
Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise Labeling
Spyros Gidaris et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
SGM-Nets: Semi-global matching with neural networks
Akihito Seki et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Tanks and Temples: Benchmarking Large-Scale Scene Reconstruction
Arno Knapitsch et al.
ACM TRANSACTIONS ON GRAPHICS (2017)
Semi-Supervised Deep Learning for Monocular Depth Map Prediction
Yevhen Kuznietsov et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
End-to-End Learning of Geometry and Context for Deep Stereo Regression
Alex Kendall et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis
Mengqi Ji et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
Mask R-CNN
Kaiming He et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clement Godard et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Detail-Preserving and Content-Aware Variational Multi-View Stereo Reconstruction
Zhaoxin Li et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2016)
Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint
Nikolay Savinov et al.
2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2016)
Progressive Prioritized Multi-view Stereo
Alex Locher et al.
2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2016)
Shading-Aware Multi-view Stereo
Fabian Langguth et al.
COMPUTER VISION - ECCV 2016, PT III (2016)
Learning a general-purpose confidence measure based on O(1) features and a smarter aggregation strategy for semi global matching
Matteo Poggi et al.
PROCEEDINGS OF 2016 FOURTH INTERNATIONAL CONFERENCE ON 3D VISION (3DV) (2016)
Accurate and occlusion-robust multi-view stereo
Zhaokun Zhu et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2015)
Variational PatchMatch MultiView Reconstruction and Refinement
Philipp Heise et al.
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
Massively Parallel Multiview Stereopsis by Surface Normal Diffusion
Silvano Galliani et al.
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
A Deep Visual Correspondence Embedding Model for Stereo Matching Costs
Zhuoyuan Chen et al.
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen et al.
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
FlowNet: Learning Optical Flow with Convolutional Networks
Alexey Dosovitskiy et al.
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
STATE OF THE ART IN HIGH DENSITY IMAGE MATCHING
Fabio Remondino et al.
PHOTOGRAMMETRIC RECORD (2014)
Photometric Bundle Adjustment for Dense Multi-View 3D Modeling
Amael Delaunoy et al.
2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2014)
PatchMatch Based Joint View Selection and Depthmap Estimation
Enliang Zheng et al.
2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2014)
Secrets of adaptive support weight techniques for local stereo matching
Asmaa Hosni et al.
COMPUTER VISION AND IMAGE UNDERSTANDING (2013)
Accurate Multiple View 3D Reconstruction Using Patch-Based Stereo for Large-Scale Scenes
Shuhan Shen
IEEE TRANSACTIONS ON IMAGE PROCESSING (2013)
Fast Cost-Volume Filtering for Visual Correspondence and Beyond
Asmaa Hosni et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
A Quantitative Evaluation of Confidence Measures for Stereo Vision
Xiaoyan Hu et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2012)
High Accuracy and Visibility-Consistent Dense Multiview Stereo
Hoang-Hiep Vu et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2012)
Building Rome in a Day
Sameer Agarwal et al.
COMMUNICATIONS OF THE ACM (2011)
Fusion of Depth Maps with Multiple Scales
Simon Fuhrmann et al.
ACM TRANSACTIONS ON GRAPHICS (2011)
DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo
Engin Tola et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2010)
Accurate, Dense, and Robust Multiview Stereopsis
Yasutaka Furukawa et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2010)
Global Stereo Reconstruction under Second-Order Smoothness Priors
Oliver Woodford et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2009)
Turning images into 3-D models
Fabio Remondino et al.
IEEE SIGNAL PROCESSING MAGAZINE (2008)
Stereo processing by Semiglobal Matching and Mutual Information
Heiko Hirschmueller
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2008)
Multiview stereo via volumetric graph-cuts and occlusion robust photo-consistency
George Vogiatzis et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2007)
A database and evaluation methodology for optical flow
Simon Baker et al.
2007 IEEE 11TH INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOLS 1-6 (2007)
Photo tourism: Exploring photo collections in 3D
Noah Snavely et al.
ACM TRANSACTIONS ON GRAPHICS (2006)
Adaptive support-weight approach for correspondence search
KJ Yoon et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2006)
Constructing free-energy approximations and generalized belief propagation algorithms
JS Yedidia et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2005)
A quasi-dense approach to surface reconstruction from uncalibrated images
M Lhuillier et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)
Stereo matching using belief propagation
J Sun et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2003)
A theory of shape by space carving
KN Kutulakos et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2000)