All-MVS (Methods and Datasets)

Contributions welcomed!

Benchmark Benchmark

Traditional 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | Early

Learning-based 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017

Benchmark

• DTU [CVPR2014, IJCV2016]

  • Large-scale data for multiple-view stereopsis [PaperCVPR], [PaperIJCV] [Webpage] [Eval code] [Video]

• Tanks and Temples [ACM ToG2017]

  • Tanks and Temples: Benchmarking Large-Scale Scene Reconstruction [Paper] [Supp] [Webpage] [Github] [leaderboard]

• ETH3D [CVPR2017]

  • A Multi-View Stereo Benchmark with High-Resolution Images and Multi-Camera Videos [Paper] [Supp] [Webpage] [Github]

• BlendedMVS [CVPR2020]

  • BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Network [Paper] [Supp] [Github] [visual]

• Strecha [CVPR2008]

  • On Benchmarking Camera Calibration and Multi-View Stereo for High Resolution Imagery [Paper] [Webpage]

• Middlebury [CVPR2006]

  • A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms [Paper] [Webpage]

• GigaMVS [T-PAMI2021]

  • GigaMVS: A Benchmark for Ultra-large-scale Gigapixel-level 3D Reconstruction [Paper] [Webpage]

• Multi-sensor large-scale dataset for multi-view 3D reconstruction [CVPR2023]

  • Multi-sensor large-scale dataset for multi-view 3D reconstruction [Paper] [Webpage]

Traditional MVS Methods (PatchMatch-based)

2025

• DVP-MVS [AAAI2025]

  • DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo [Paper][GitHub]

• MSP-MVS [AAAI2025]

  • MSP-MVS: Multi-Granularity Segmentation Prior Guided Multi-View Stereo [Paper][GitHub]

2024

• SD-MVS [AAAI2024]

  • SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization [Paper][GitHub]

• TSAR-MVS [PR2024]

  • TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo [Paper][GitHub]

• Multiview Stereo via Noise Suppression PatchMatch [TIM2024]

  • Multiview Stereo via Noise Suppression PatchMatch [Paper]

• PolarPMS [WACV2024]

  • Polarimetric PatchMatch Multi-View Stereo [Paper][Webpage]

2023

• HPM-MVS [ICCV2023]

  • Hierarchical Prior Mining for Non-local Multi-View Stereo [Paper] [Supp] [Paper][GitHub]

• Hybrid-MVS [TCSVT2023]

  • Hybrid-MVS: Robust Multi-View Reconstruction with Hybrid Optimization of Visual and Depth Cues [Paper]

• APD-MVS [CVPR2023]

  • Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo [Paper] [Supp][GitHub]

• HQP-MVS [ICASSP2023]

  • HQP-MVS:High-Quality Plane Priors Assisted Multi-View Stereo for Low-Textured Areas [Paper]

• AMBC [CoRR2023]

  • Visibility-Aware Pixelwise View Selection for Multi-View Stereo Matching [Paper]

• Multiple View Stereo with quadtree-guided priors [ISPRS2023]

  • Multiple View Stereo with quadtree-guided priors [Paper][GitHub]

2022

• LGP-MVS [VC2022]

  • LGP-MVS: Combined Local and Global Planar Priors Guidance for Indoor Multi-View Stereo [Paper]

• Multi-View Depth Estimation with Color-Aware Propagation and Texture-Aware Triangulation [IPEC2022]

  • Multi-View Depth Estimation with Color-Aware Propagation and Texture-Aware Triangulation [Paper]

• ACMMP [TPAMI2022]

  • Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo [Paper][GitHub]

• Revisiting PatchMatch Multi-View Stereo for Urban 3D Reconstruction [IC2022]

  • Revisiting PatchMatch Multi-View Stereo for Urban 3D Reconstruction [Paper]

2021

• PHI-MVS [CoRR2021]

  • PHI-MVS: Plane Hypothesis Inference Multi-View Stereo for Large-Scale Scene Reconstruction [Paper][GitHub]

• DP-MVS [RemoteSensing2021]

  • DP-MVS: Detail Preserving Multi-View Surface Reconstruction of Large-Scale Scenes [Paper[Video]

• Adaptive Pixelwise Inference Multi-View Stereo [ICGIP2021]

  • Adaptive Pixelwise Inference Multi-View Stereo [Paper]

2020

• MG-MVS [CVPR2020]

  • Mesh-Guided Multi-View Stereo with Pyramid Architecture [Paper]

• ACMP [AAAI2020]

  • Planar Prior Assisted PatchMatch Multi-View Stereo [Paper] [GitHub]

• DeepC-MVS [3DV2020]

  • DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction [Paper]

• MARMVS [CVPR2020]

  • MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction [Paper][Video]

• CLD-MVS [TIP2020]

  • Confidence-Based Large-Scale Dense Multi-View Stereo [Paper]

• A-TVSNet [CoRR2020]

  • Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation [Paper][GitHub]

2019

• ACMM, ACMH [CVPR2019]

  • Multi-Scale Geometric Consistency Guided Multi-View Stereo [Paper [Paper][GitHub][GitHub]

• TAPA-MVS [ICCV2019]

  • TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo [Paper] [Supp]

• PCFMVS [GCPR2019]

  • Plane Completion and Filtering for Multi-View Stereo Reconstruction [Paper]

• PLC [PG2019]

  • Pyramid Multi-View Stereo with Local Consistency [Paper]

2018

• AMHMVS [CoRR2018]
  • Multi-View Stereo with Asymmetric Checkerboard Propagation and Multi-Hypothesis Joint View Selection [Paper]

Early

• Multi-View Stereo Combined with Space Propagation and Pixel-Level Refinement [ACPR2017]

  • Multi-View Stereo Combined with Space Propagation and Pixel-Level Refinement [Paper]

• COLMAP [ECCV2016]

  • Pixelwise View Selection for Unstructured Multi-View Stereo [Paper][Paper] [Supp][GitHub]

• A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction [IJCV2016]

  • A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction [Paper]

• Gipuma [ICCV2015]

  • Massively Parallel Multiview Stereopsis by Surface Normal Diffusion [Paper] [Supp][GitHub] [GitHub]

• Patchmatch stereo-stereo matching with slanted Support windows [BMVC2011]

  • Patchmatch stereo-stereo matching with slanted Support windows [Paper][GitHub]

• Tola / EMVS [MV&A2011]

  • Efficient Large-scale Multi-View Stereo for Ultra High-resolution Image Sets [Paper]

• Camp [ECCV2008]

  • Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo [Paper]

• Furu / PMVS [CVPR2007]

  • Accurate, Dense, and Robust Multi-View Stereopsis [Paper][Webpage]

Learning-based MVS Methods

2024

• GoMVS [CVPR2024]

  • GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo [Paper] [GitHub] [Webpage]

• AC-MVSNet [ICCECT2024]

  • Multi-View Stereo Reconstruction Based on Adaptive Aggregation and Coordinate Attention Mechanism [Paper]

• CT-MVSNet [MMM2024]

  • Efficient Multi-View Stereo with Cross-scale Transformer [Paper] [GitHub]

• FDN-MVS [The_Visual_Computer2024]

  • Feature Distribution Normalization Network for Multi-View Stereo [Paper] [GitHub]

• MVSFormer++ [ICLR2024]

  • MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo [Paper] [GitHub]

• RobustMVS [TCSVT2024]

  • RobustMVS: Single Domain Generalized Deep Multi-view Stereo [Paper] [GitHub]

• CT-MVSNet [MTA2024]

  • CT-MVSNet: Curvature-Guided Multi-View Stereo with Transformers [Paper] [GitHub]

• DS-PMNet [AAAI2024]

  • Learning Deformable Hypothesis Sampling for Accurate PatchMatch[Paper][GitHub]

• HAMMER [WACV2024]

  • HAMMER: Learning Entropy Maps to Create Accurate 3D Models in Multi-View Stereo [Paper] [Supp]

• GC-MVSNet []

  • GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo [Paper] [Supp] [GitHub]

2023

• SDA-MVS [ACMMM2023]

  • Semi-supervised Deep Multi-view Stereo [Paper]

• S-OmniMVS [ACMMM2023]

  • S-OmniMVS: Incorporating Sphere Geometry into Omnidirectional Stereo Matching [Paper]

• ET-MVSNet [ICCV2023]

  • When Epipolar Constraint Meets Non-Local Operators in Multi-View Stereo [Paper] [Supp] [GitHub]

• CL-MVSNet [ICCV2023]

  • CL-MVSNet: Unsupervised Multi-View Stereo with Dual-Level Contrastive Learning [Paper] [Supp][GitHub]

• DMVSNet [ICCV2023]

  • Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells [Paper] [Supp [Paper] [GitHub]

• Bi-ClueMVSNet [IJCNN2023]

  • Bi-ClueMVSNet: Learning Bidirectional Occlusion Clues for Multi-View Stereo [Paper]

• Costformer [IJCAI2023]

  • Costformer: Cost Transformer for Cost Aggregation in Multi-View Stereo [Paper] [GitHub]

• PA-PointMVSNet [Applied_Intelligence2023]

  • Multi‑View Stereo Network With Point Attention[Paper]

• Edge-Aware Spatial Propagation Network for Multi-view Depth Estimation [NPL2023]

  • Edge-Aware Spatial Propagation Network for Multi-view Depth Estimation [Paper]

• AP-UCSNet [Applied_Intelligence2023]

  • Uncertainty Awareness With Adaptive Propagation for Multi-View Stereo [Paper]

• AdaptMVSNet [CG2023]

  • AdaptMVSNet: Efficient Multi-View Stereo With Adaptive Convolution and Attention Fusion [Paper]

• Adaptive Region Aggregation for Multi-View Stereo Matching Using Deformable Convolutional Networks [The_Photogrammetric_Record2023]

  • Adaptive Region Aggregation for Multi-View Stereo Matching Using Deformable Convolutional Networks [Paper]

• RepC-MVSNet [Agronomy2023]

  • RepC-MVSNet: A Reparameterized Self-Supervised 3D Reconstruction Algorithm for Wheat 3D Reconstruction [Paper]

• ES-MVSNet [CoRR2023]

  • ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo[Paper]

• ARAI-MVSNet [PR2023]

  • ARAI-MVSNet: A Multi-View Stereo Depth Estimation Network With Adaptive Depth Range and Depth Interval [Paper] [GitHub]

• DSC-MVSNet [Complex_Intelligent_Systems2023]

  • DSC-MVSNet: Attention Aware Cost Volume Regularization Based on Depthwise Separable Convolution for Multi-View Stereo [Paper] [GitHub]

• NR-MVSNet [TIP2023]

  • NR-MVSNet: Learning Multi-View Stereo Based on Normal Consistency and Depth Refinement [Paper] [GitHub]

• PT-MVSNet [CVIDL2023]

  • PT-MVSNet: Overlapping Attention Multi-view Stereo Network with Transformers [Paper]

• GDINet [IEEE--Access2023]

  • Multi-View Stereo Network With Gaussian Distribution Iteration[Paper]

• A-SATMVSNet [FES2023]

  • A-SATMVSNet: An Attention-Aware Multi-View Stereo Matching Network Based on Satellite Imagery [Paper]

• GeoMVSNet [CVPR2023]

  • GeoMVSNet: Learning Multi-View Stereo with Geometry Perception [Paper] [Supp] [GitHub] [Video]

• RA-MVSNet [CVPR2023]

  • Multi-View Stereo Representation Revisit: Region-Aware MVSNet [Paper]

• RIAV-MVS [CVPR2023]

  • RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo [Paper]

• IGEV-MVS [CVPR2023]

  • Iterative Geometry Encoding Volume for Stereo Matching [Paper] [GitHub]

• N2MVSNet [ICASSP2023]

  • N2MVSNet: Non-Local Neighbors Aware Multi-View Stereo Network [Paper]

• ContextMVS [MMM2023]

  • Context-Guided Multi-View Stereo with Depth Back-Projection [Paper]

• Un-OmniMVS [CoRR2023]

  • Unsupervised OmniMVS: Efficient Omnidirectional Depth Inference via Establishing Pseudo-Stereo Supervision [Paper] [GitHub]

• MG-MVSNet [Neurocomputing2023]

  • MG-MVSNet: Multiple Granularities Feature Fusion Network for Multi-View Stereo [Paper]

• FFP-MVSNet [CSPS2023]

  • FFP-MVSNet: Feature Fusion Based Patchmatch for Multi-View Stereo [Paper]

• MosaicMVS [TMM2023]

  • MosaicMVS: Mosaic-based Omnidirectional Multi-View Stereo for Indoor Scenes [Paper] [GitHub]

• DELS-MVS [WACV2023]

  • DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo [Paper] [Supp] [Paper]

• 360MVSNet [WACV2023]

  • 360MVSNet: Deep Multi-View Stereo Network with 360◦ Images for Indoor Scene Reconstruction [Paper] [Supp][Webpage]

• nLMVS-Net [WACV2023]

  • nLMVS-Net: Deep Non-Lambertian Multi-View Stereo [Paper] [Supp] [Paper][Webpage]

• EPNet [AAAI2023]

  • Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation [Paper] [GitHub]

• DispMVS [AAAI2023]

  • Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity [Paper][GitHub]

• MVSFormer [TMLR2023]

  • MVSFormer: Multi-View Stereo with Pre-trained Vision Transformers and Temperature-based Depth [Paper][GitHub]

2022

• GigaMVS [TPAMI2022]

  • GigaMVS: A Benchmark for Ultra-Large-Scale Gigapixel-Level 3D Reconstruction [Paper] [GitHub] [Webpage]

• Multistage Pixel-Visibility Learning With Cost Regularization for Multiview Stereo [TASE2022]

  • Multistage Pixel-Visibility Learning With Cost Regularization for Multiview Stereo [Paper]

• Global Contextual Complementary Network for Multi-View Stereo [BMVC2022]

  • Global Contextual Complementary Network for Multi-View Stereo [Paper] [Supp][Webpage]

• HR-MVSNet [BMVC2022]

  • Hybrid Cost Volume Regularization for Memory-efficient Multi-View Stereo Networks [Paper] [Supp] [Webpage]

• SPGNet [CG2022]

  • Sparse Prior Guided Deep Multi-View Stereo [Paper]

• UGNet [TCVST2022]

  • Uncertainty-guided Multi-View Stereo Network for Depth Estimation [Paper]

• BDE-MVSNet [ACCV2022]

  • Adaptive Range guided Multi-View Depth Estimation with Normal Ranking Loss [Paper]

• ElasticMVS [NIPS2022]

  • ElasticMVS: Learning Elastic Part Representation for Self-Supervised Multi-View Stereopsis [Paper] [Supp]

• WT-MVSNet [NIPS2022]

  • WT-MVSNet: Window-based Transformers for Multi-View Stereo [Paper] [Supp]

• Guided-MVS [IROS2022]

  • Multi-View Guided Multi-View Stereo [Paper] [GitHub]

• ParseMVS [ACMMM2022]

  • ParseMVS: Learning Primitive-aware Surface Representations for Sparse Multi-View Stereopsis [Paper] [Supp]

• Self-Supervised Multi-View Stereo via Adjacent Geometry Guided Volume Completion [ACMMM2022]

  • Self-Supervised Multi-View Stereo via Adjacent Geometry Guided Volume Completion [Paper] [Supp]

• Self-supervised Multi-View Stereo via Inter and Intra Network Pseudo Depth [ACMMM2022]

  • Self-supervised Multi-View Stereo via Inter and Intra Network Pseudo Depth [Paper] [Supp]

• Deep PatchMatch MVS with Learned Patch Coplanarity, Geometric Consistency and Adaptive Pixel Sampling [CoRR2022]

  • Deep PatchMatch MVS with Learned Patch Coplanarity, Geometric Consistency and Adaptive Pixel Sampling [Paper]

• PSP-MVSNet [ICANN2022]

  • PSP-MVSNet: Deep Patch-Based Similarity Perceptual for Multi-View Stereo Depth Inference [Paper]

• End-to-End Multi-View Structure-from-Motion with Hypercorrelation Volumes [SPSIS2022]

  • End-to-End Multi-View Structure-from-Motion with Hypercorrelation Volumes [Paper]

• A Benchmark and a Baseline for Robust Multi-View Depth Estimation [3DV2022]

  • A Benchmark and a Baseline for Robust Multi-View Depth Estimation [Paper][GitHub]

• MSCVP-MVSNet [CGI2022]

  • Cost Volume Pyramid Network with Multi-strategies Range Searching for Multi-View Stereo [Paper] [GitHub]

• ATLAS-MVSNet [ICPR2022]

  • ATLAS-MVSNet: Attention Layers for Feature Extraction and Cost Volume Regularization in Multi-View Stereo [GitHub][Video]

• DS-MVSNet [ACMMM2022]

  • DS-MVSNet: Unsupervised Multi-View Stereo via Depth Synthesis [Paper][GitHub]

• IS-MVSNet [ECCV2022]

  • IS-MVSNet: Importance-sampling-based MVSNet [Paper][GitHub]

• KD-MVS [ECCV2022]

  • KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-View Stereo [Paper][GitHub][Webpage]

• Semi-supervised Deep Multi-View Stereo [CoRR2022]

  • Semi-supervised Deep Multi-View Stereo [Paper]

• Miper-MVS [IS2022]

  • Miper-MVS: Multi-Scale Itearative Probability Estimation with Refinement for Efficient Multi-View Stereo [Paper][GitHub]

• RC-MVSNet [ECCV2022]

  • RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering [Paper][GitHub] [Webpage]

• Enhancing Multi-View Stereo with Contrastive Matching and Weighted Focal Loss [ICIP2022]

  • Enhancing Multi-View Stereo with Contrastive Matching and Weighted Focal Loss [Paper]

• MVSTER [ECCV2022]

  • MVSTER: Epipolar Transformer for Efficient Multi-View Stereo [Paper][GitHub]

• CER-MVS [ECCV2022]

  • Multiview Stereo with Cascaded Epipolar RAFT [Paper][GitHub]

• Geo-Neus [CoRR2022]

  • Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-View Reconstruction [Paper]

• BH-MVSNet [TVCG2022]

  • Bidirectional Hybrid LSTM Based Recurrent Neural Network for Multi-View Stereo [Paper]

• Exploiting Correspondences with All-pairs Correlations for Multi-View Depth Estimation [CoRR2022]

  • Exploiting Correspondences with All-pairs Correlations for Multi-View Depth Estimation [Paper]

• MVSTER [CoRR2022]

  • Multi-View Stereo with Transformer [Paper]

• MVS-T [Sensors2022]

  • MVS-T: A Coarse-to-Fine Multi-View Stereo Network with Transformer for Low-Resolution Images 3D Reconstruction [Paper]

• Effi-MVS [CVPR2022]

  • Efficient Multi-View Stereo by Iterative Dynamic Cost Volume [Paper] [Supp][GitHub]

• NP-CVP-MVS [CVPR2022]

  • Non-parametric Depth Distribution Modelling based Depth Inference for Multi-View Stereo [Paper][GitHub]

• GBi-Net [CVPR2022]

  • Generalized Binary Search Network for Highly-Efficient Multi-View Stereo [Paper][GitHub]

• UniMVSNet [CVPR2022]

  • Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation and Focal Loss [Paper][GitHub]

• TransMVSNet [CVPR2022]

  • TransMVSNet: Global Context-aware Multi-View Stereo Network with Transformers [Paper][GitHub]

• IterMVS [CVPR2022]

  • IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo [Paper] [Supp] [GitHub]

• MaGNet [CVPR2022]

  • Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry [Paper] [Supp] [Paper][GitHub]

• CDS-MVSNet [ICLR2022]

  • Curvature-guided dynamic scale networks for Multi-View Stereo [Paper [Supp] [GitHub]

• DDL-MVS / iMVS [CoRR2022]

  • DDL-MVS: Depth Discontinuity Learning for MVS Networks [Paper][GitHub]

• PlaneMVS [CVPR2022]

  • PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo [Paper] [Supp]

• RayMVSNet [CVPR2022]

  • RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo [Paper] [Supp] [GitHub]

• DRI-MVSNet [PLoS2022]

  • DRI-MVSNet: A Depth Residual Inference Network for Multi-View Stereo Images [Paper]

• A Semi‑Supervised Method for PatchMatch Multi‑View Stereo with Sparse Points [Photonics2022]

  • A Semi‑Supervised Method for PatchMatch Multi‑View Stereo with Sparse Points [Paper]

• DEMVSNet [IETCV2022]

  • DEMVSNet: Denoising and Depth Inference for Unstructured Multi‐view Stereo on Noised Images [Paper]

• PVSNet [IJCV2022]

  • Learning Inverse Depth Regression for Pixelwise Visibility-Aware Multi-View Stereo Networks [Paper]

2021

• Long-range Attention Network for Multi-View Stereo [WACV2021]

  • Long-range Attention Network for Multi-View Stereo [Paper][Video]

• PatchMVSNet [CVPR2021]

  • PatchMVSNet: Patch-wise Unsupervised Multi-View Stereo for Weakly-Textured Surface Reconstruction [Paper] [Supp] [GitHub]

• DeepVideoMVS [CVPR2021]

  • DeepVideoMVS: Multi-View Stereo on Video With Recurrent Spatio-Temporal Fusion [Paper] [Supp] [GitHub][Video]

• Self-Supervised Learning of Depth Inference for Multi-View Stereo [CVPR2021]

  • Self-Supervised Learning of Depth Inference for Multi-View Stereo [Paper] [Supp] [GitHub]

• Mˆ3VSNet [ICIP2021]

  • Mˆ3VSNet: Unsupervised Multi-Metric Multi-View Stereo Network [Paper][GitHub]

• AA-RMVSNet [ICCV2021]

  • AA-RMVSNet: Adaptive Aggregation Recurrent Multi-View Stereo Network [Paper] [Supp][GitHub]

• Digging into Uncertainty in Self-supervised Multi-View Stereo [ICCV2021]

  • Digging into Uncertainty in Self-supervised Multi-View Stereo [Paper] [Supp] [GitHub]

• Self-Supervised Multi-View Stereo via Effective Co-segmentation and Data-Augmentation [AAAI2021]

  • Self-Supervised Multi-View Stereo via Effective Co-segmentation and Data-Augmentation [Paper] [GitHub]

• MVS2D [CoRR2021]

  • MVS2D: Efficient Multi-View Stereo via Attention-Driven 2D Convolutions [Paper[GitHub][Webpage]

• IB-MVS [BMVC2021]

  • IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions [Paper] [Supp]

• EPP-MVSNet [ICCV2021]

  • EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo [Paper][GitHub]

• NerfingMVS [ICCV2021]

  • NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo [Paper] [Supp][GitHub] [Video] [Webpage]

• SGT-MVSNet [ICCV2021]

  • Just a Few Points Are All You Need for Multi-View Stereo: A Novel Semi-Supervised Learning Method for Multi-View Stereo [Paper] [Supp]

• MVSDF [ICCV2021]

  • Learning Signed Distance Field for Multi-View Surface Reconstruction [Paper] [Supp] [GitHub]

• PatchMatch-RL: Deep MVS With Pixelwise Depth, Normal, and Visibility [ICCV2021]

  • PatchMatch-RL: Deep MVS With Pixelwise Depth, Normal, and Visibility [Paper] [Supp] [GitHub]

• Deep Multi-View Stereo Gone Wild [3DC2021]

  • Deep Multi-View Stereo Gone Wild [Paper] [GitHub][Webpage]

• HighRes-MVSNet [IEEE-Access2021]

  • HighRes-MVSNet: A Fast Multi-View Stereo Network for Dense 3D Reconstruction From High-Resolution Images [Paper]

• AACVP-MVSNet [ISPRS2021]

  • AACVP-MVSNet: Attention-Aware Cost Volume Pyramid Based Multi-View Stereo Network for 3D Reconstruction [Paper] [GitHub]

• Non-local Recurrent Regularization Networks for Multi-View Stereo [CoRR2021]

  • Non-local Recurrent Regularization Networks for Multi-View Stereo [Paper]

• DDR-Net [CoRR2021]

  • DDR-Net: Learning Multi-Stage Multi-View Stereo With Dynamic Depth Range [Paper][GitHub]

• CVA-MVSNet [CoRL2021]

  • Tandem: Tracking and Dense Mapping in Real-Time Using Deep Multi-View Stereo [Paper] [Supp] [GitHub] [Video] [Webpage]

2020

• BlendedMVS [CVPR2020]

  • BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks [Paper] [Supp] [GitHub][Video]

• MVSNet++ [TIP2020]

  • MVSNet++: Learning Depth-Based Attention Pyramid Features for Multi-View Stereo [Paper][Video]

• Cas-MVSNet [CVPR2020]

  • Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching [Paper][GitHub][Video]

• BP-MVSNet [3DV2020]

  • BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo [Paper]

• UCSNet [CVPR2020]

  • Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness [Paper] [Supp] [[GitHub]

• Fast-MVSNet [CVPR2020]

  • Fast-MVSNet: Sparse-to-Dense Multi-View Stereo with Learned Propagation and Gauss-Newton Refinement [Paper] [Supp] [GitHub][Video]

• CIDER [AAAI2020]

  • Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume [Paper]

• AttMVSNet [CVPR2020]

  • Attention-Aware Multi-View Stereo [Paper]

• A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction from an Open Aerial Dataset [CVPR2020]

  • A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction from an Open Aerial Dataset [Paper] [GitHub][Video]

• CVP-MVSNet [CVPR2020]

  • Cost Volume Pyramid Based Depth Inference for Multi-View Stereo [Paper] [Supp] [GitHub]

• PVAMVSNet [ECCV2020]

  • Pyramid Multi-View Stereo Net with Self-Adaptive View Aggregation [Paper] [Supp] [GitHub]

• Dense Hybrid Recurrent Multi-View Stereo Net with Dynamic Consistency Checking [ECCV2020]

  • Dense Hybrid Recurrent Multi-View Stereo Net with Dynamic Consistency Checking [Paper] [Supp] [GitHub]

• Learning to Adapt Multi-View Stereo by Self-Supervision [BMVC2020]

  • Learning to Adapt Multi-View Stereo by Self-Supervision [Paper] [Supp]

• Vis-MVSNet [BMVC2020]

  • Visibility-Aware Multi-View Stereo Network [Paper] [Supp] [GitHub]

• REDNet [CVPR2020]

  • A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction from an Open Aerial Dataset [Paper][GitHub][Video]

• NRMVS [WACV2020]

  • NRMVS: Non-Rigid Multi-View Stereo [Paper] [Supp]

2019

• Multi-View Stereo by Temporal Nonparametric Fusion [ICCV2019]

  • Multi-View Stereo by Temporal Nonparametric Fusion [Paper] [Supp] [GitHub][Video] [Webpage]

• DPSNet [ICLR2019]

  • DPSNet: End-to-end Deep Plane Sweep Stereo [Paper] [GitHub]

• RMVSNet [CVPR2019]

  • Recurrent Mvsnet for High-Resolution Multi-View Stereo Depth Inference [Paper] [GitHub]

• PointMVSNet [ICCV2019]

  • Point-Based Multi-View Stereo Network [Paper] [GitHub][Video] [Webpage]

• P-MVSNet [ICCV2019]

  • P-MVSNet: Learning Patch-Wise Matching Confidence Aggregation for Multi-View Stereo [Paper]

• MVSCRF [ICCV2019]

  • MVSCRF: Learning Multi-View Stereo with Conditional Random Fields [Paper]

• Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency [CoRR2019]

  • Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency [Paper][GitHub][Webpage]

• MVS2 [3DV2019]

  • MVS2: Deep Unsupervised Multi-View Stereo with Multi-View Symmetry [Paper]

2018

• DeepMVS [CVPR2018]

  • DeepMVS: Learning Multi-View Stereopsis [Paper] [Supp][GitHub][Webpage]

• MVDepthNet [3DV2018]

  • MVDepthNet: Real-time Multiview Depth Estimation Neural Network [Paper] [GitHub]

• MVSNet [ECCV2018]

  • MVSNet: Depth Inference for Unstructured Multi-View Stereo [Paper] [GitHub] [GitHub]

2017

• SurfaceNet [ICCV2017]
  • SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis [Paper] [GitHub]