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Traditional 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | Early
Learning-based MVS Methods GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo Multi-View Stereo Reconstruction Based on Adaptive Aggregation and Coordinate Attention Mechanism - [AC-MVSNet] CT-MVSNet: Efficient Multi-View Stereo with Cross-scale Transformer Feature Distribution Normalization Network for Multi-View Stereo - [FDN-MVS] MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo RobustMVS: Single Domain Generalized Deep Multi-view Stereo CT-MVSNet: Curvature-Guided Multi-View Stereo with Transformers Learning Deformable Hypothesis Sampling for Accurate PatchMatch - [DS-PMNet] HAMMER: Learning Entropy Maps to Create Accurate 3D Models in Multi-View Stereo GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo Semi-supervised Deep Multi-view Stereo - [SDA-MVS] S-OmniMVS: Incorporating Sphere Geometry into Omnidirectional Stereo Matching When Epipolar Constraint Meets Non-Local Operators in Multi-View Stereo - [ET-MVSNet] CL-MVSNet: Unsupervised Multi-View Stereo with Dual-Level Contrastive Learning Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells - [DMVSNet] Bi-ClueMVSNet: Learning Bidirectional Occlusion Clues for Multi-View Stereo Costformer: Cost Transformer for Cost Aggregation in Multi-View Stereo Multi‑View Stereo Network With Point Attention - [PA-PointMVSNet] Edge-Aware Spatial Propagation Network for Multi-view Depth Estimation Uncertainty Awareness With Adaptive Propagation for Multi-View Stereo - [AP-UCSNet] AdaptMVSNet: Efficient Multi-View Stereo With Adaptive Convolution and Attention Fusion Adaptive Region Aggregation for Multi-View Stereo Matching Using Deformable Convolutional Networks RepC-MVSNet: A Reparameterized Self-Supervised 3D Reconstruction Algorithm for Wheat 3D Reconstruction ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo ARAI-MVSNet: A Multi-View Stereo Depth Estimation Network With Adaptive Depth Range and Depth Interval DSC-MVSNet: Attention Aware Cost Volume Regularization Based on Depthwise Separable Convolution for Multi-View Stereo NR-MVSNet: Learning Multi-View Stereo Based on Normal Consistency and Depth Refinement PT-MVSNet: Overlapping Attention Multi-view Stereo Network with Transformers Multi-View Stereo Network With Gaussian Distribution Iteration - [GDINet] A-SATMVSNet: An Attention-Aware Multi-View Stereo Matching Network Based on Satellite Imagery GeoMVSNet: Learning Multi-View Stereo with Geometry Perception Multi-View Stereo Representation Revisit: Region-Aware MVSNet - [RA-MVSNet] RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo Iterative Geometry Encoding Volume for Stereo Matching - [IGEV-MVS] N2MVSNet: Non-Local Neighbors Aware Multi-View Stereo Network Context-Guided Multi-View Stereo with Depth Back-Projection - [ContextMVS] Unsupervised OmniMVS: Efficient Omnidirectional Depth Inference via Establishing Pseudo-Stereo Supervision - [Un-OmniMVS] MG-MVSNet: Multiple Granularities Feature Fusion Network for Multi-View Stereo FFP-MVSNet: Feature Fusion Based Patchmatch for Multi-View Stereo MosaicMVS: Mosaic-based Omnidirectional Multi-View Stereo for Indoor Scenes DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo 360MVSNet: Deep Multi-View Stereo Network with 360◦ Images for Indoor Scene Reconstruction nLMVS-Net: Deep Non-Lambertian Multi-View Stereo Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation - [EPNet] Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity - [DispMVS] MVSFormer: Multi-View Stereo with Pre-trained Vision Transformers and Temperature-based Depth GigaMVS: A Benchmark for Ultra-Large-Scale Gigapixel-Level 3D Reconstruction Multistage Pixel-Visibility Learning With Cost Regularization for Multiview Stereo Global Contextual Complementary Network for Multi-View Stereo Hybrid Cost Volume Regularization for Memory-efficient Multi-View Stereo Networks - [HR-MVSNet] Sparse Prior Guided Deep Multi-View Stereo - [SPGNet] Uncertainty-guided Multi-View Stereo Network for Depth Estimation - [UGNet] Adaptive Range guided Multi-View Depth Estimation with Normal Ranking Loss - [BDE-MVSNet] ElasticMVS: Learning Elastic Part Representation for Self-Supervised Multi-View Stereopsis WT-MVSNet: Window-based Transformers for Multi-View Stereo Multi-View Guided Multi-View Stereo - [Guided-MVS] ParseMVS: Learning Primitive-aware Surface Representations for Sparse Multi-View Stereopsis Self-Supervised Multi-View Stereo via Adjacent Geometry Guided Volume Completion Self-supervised Multi-View Stereo via Inter and Intra Network Pseudo Depth Deep PatchMatch MVS with Learned Patch Coplanarity, Geometric Consistency and Adaptive Pixel Sampling PSP-MVSNet: Deep Patch-Based Similarity Perceptual for Multi-View Stereo Depth Inference End-to-End Multi-View Structure-from-Motion with Hypercorrelation Volumes A Benchmark and a Baseline for Robust Multi-View Depth Estimation Cost Volume Pyramid Network with Multi-strategies Range Searching for Multi-View Stereo - [MSCVP-MVSNet] ATLAS-MVSNet: Attention Layers for Feature Extraction and Cost Volume Regularization in Multi-View Stereo DS-MVSNet: Unsupervised Multi-View Stereo via Depth Synthesis IS-MVSNet: Importance-sampling-based MVSNet KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-View Stereo Semi-supervised Deep Multi-View Stereo Miper-MVS: Multi-Scale Itearative Probability Estimation with Refinement for Efficient Multi-View Stereo RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering Enhancing Multi-View Stereo with Contrastive Matching and Weighted Focal Loss MVSTER: Epipolar Transformer for Efficient Multi-View Stereo Multiview Stereo with Cascaded Epipolar RAFT - [CER-MVS] Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-View Reconstruction Bidirectional Hybrid LSTM Based Recurrent Neural Network for Multi-View Stereo - [BH-MVSNet] Exploiting Correspondences with All-pairs Correlations for Multi-View Depth Estimation Multi-View Stereo with Transformer - [MVSTR] MVS-T: A Coarse-to-Fine Multi-View Stereo Network with Transformer for Low-Resolution Images 3D Reconstruction Efficient Multi-View Stereo by Iterative Dynamic Cost Volume - [Effi-MVS] Non-parametric Depth Distribution Modelling based Depth Inference for Multi-View Stereo - [NP-CVP-MVS] Generalized Binary Search Network for Highly-Efficient Multi-View Stereo - [GBi-Net] Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation and Focal Loss - [UniMVSNet] TransMVSNet: Global Context-aware Multi-View Stereo Network with Transformers IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry - [MaGNet] Curvature-guided dynamic scale networks for Multi-View Stereo - [CDS-MVSNet] DDL-MVS: Depth Discontinuity Learning for MVS Networks - [iMVS] PatchMVSNet: Patch-wise Unsupervised Multi-View Stereo for Weakly-Textured Surface Reconstruction PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo DRI-MVSNet: A Depth Residual Inference Network for Multi-View Stereo Images A Semi‑Supervised Method for PatchMatch Multi‑View Stereo with Sparse Points DEMVSNet: Denoising and Depth Inference for Unstructured Multi‐view Stereo on Noised Images Learning Inverse Depth Regression for Pixelwise Visibility-Aware Multi-View Stereo Networks - [PVSNet] Long-range Attention Network for Multi-View Stereo PatchmatchNet: Learned Multi-View Patchmatch Stereo DeepVideoMVS: Multi-View Stereo on Video With Recurrent Spatio-Temporal Fusion Self-Supervised Learning of Depth Inference for Multi-View Stereo Mˆ3VSNet: Unsupervised Multi-Metric Multi-View Stereo Network AA-RMVSNet: Adaptive Aggregation Recurrent Multi-View Stereo Network Digging into Uncertainty in Self-supervised Multi-View Stereo Self-Supervised Multi-View Stereo via Effective Co-segmentation and Data-Augmentation MVS2D: Efficient Multi-View Stereo via Attention-Driven 2D Convolutions IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo Just a Few Points Are All You Need for Multi-View Stereo: A Novel Semi-Supervised Learning Method for Multi-View Stereo - [SGT-MVSNet] Learning Signed Distance Field for Multi-View Surface Reconstruction - [MVSDF] PatchMatch-RL: Deep MVS With Pixelwise Depth, Normal, and Visibility Deep Multi-View Stereo Gone Wild HighRes-MVSNet: A Fast Multi-View Stereo Network for Dense 3D Reconstruction From High-Resolution Images AACVP-MVSNet: Attention-Aware Cost Volume Pyramid Based Multi-View Stereo Network for 3D Reconstruction Non-local Recurrent Regularization Networks for Multi-View Stereo DDR-Net: Learning Multi-Stage Multi-View Stereo With Dynamic Depth Range Tandem: Tracking and Dense Mapping in Real-Time Using Deep Multi-View Stereo - [CVA-MVSNet] BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks MVSNet++: Learning Depth-Based Attention Pyramid Features for Multi-View Stereo Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness - [UCSNet] Fast-MVSNet: Sparse-to-Dense Multi-View Stereo with Learned Propagation and Gauss-Newton Refinement Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume - [CIDER] Attention-Aware Multi-View Stereo - [AttMVSNet] A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction from an Open Aerial Dataset Cost Volume Pyramid Based Depth Inference for Multi-View Stereo - [CVP-MVSNet] Pyramid Multi-View Stereo Net with Self-Adaptive View Aggregation - [PVAMVSNet] Dense Hybrid Recurrent Multi-View Stereo Net with Dynamic Consistency Checking Learning to Adapt Multi-View Stereo by Self-Supervision Visibility-Aware Multi-View Stereo Network - [Vis-MVSNet] A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction from an Open Aerial Dataset - [REDNet] NRMVS: Non-Rigid Multi-View Stereo Multi-View Stereo by Temporal Nonparametric Fusion DPSNet: End-to-end Deep Plane Sweep Stereo Recurrent Mvsnet for High-Resolution Multi-View Stereo Depth Inference - [RMVSNet] Point-Based Multi-View Stereo Network - [PointMVSNet] P-MVSNet: Learning Patch-Wise Matching Confidence Aggregation for Multi-View Stereo MVSCRF: Learning Multi-View Stereo with Conditional Random Fields Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency MVS2: Deep Unsupervised Multi-View Stereo with Multi-View Symmetry DeepMVS: Learning Multi-View Stereopsis MVDepthNet: Real-time Multiview Depth Estimation Neural Network MVSNet: Depth Inference for Unstructured Multi-View Stereo SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis PatchMatch-based MVS Methods Multiview Stereo via Noise Suppression PatchMatch Polarimetric PatchMatch Multi-View Stereo - [PolarPMS] Hierarchical Prior Mining for Non-local Multi-View Stereo - [HPM-MVS] TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo Hybrid-MVS: Robust Multi-View Reconstruction with Hybrid Optimization of Visual and Depth Cues Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo - [APD-MVS] HQP-MVS:High-Quality Plane Priors Assisted Multi-View Stereo for Low-Textured Areas Visibility-Aware Pixelwise View Selection for Multi-View Stereo Matching - [AMBC] Multiple View Stereo with quadtree-guided priors LGP-MVS: Combined Local and Global Planar Priors Guidance for Indoor Multi-View Stereo Multi-View Depth Estimation with Color-Aware Propagation and Texture-Aware Triangulation Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo - [ACMMP] Revisiting PatchMatch Multi-View Stereo for Urban 3D Reconstruction PHI-MVS: Plane Hypothesis Inference Multi-View Stereo for Large-Scale Scene Reconstruction DP-MVS: Detail Preserving Multi-View Surface Reconstruction of Large-Scale Scenes Adaptive Pixelwise Inference Multi-View Stereo Mesh-Guided Multi-View Stereo with Pyramid Architecture - [MG-MVS] Planar Prior Assisted PatchMatch Multi-View Stereo - [ACMP] DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction Confidence-Based Large-Scale Dense Multi-View Stereo - [CLD-MVS] A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation Multi-Scale Geometric Consistency Guided Multi-View Stereo - [ACMH, ACMM] TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo Plane Completion and Filtering for Multi-View Stereo Reconstruction - [PCFMVS] Pyramid Multi-View Stereo with Local Consistency - [PLC] Multi-View Stereo with Asymmetric Checkerboard Propagation and Multi-Hypothesis Joint View Selection - [AMHMVS] Multi-View Stereo Combined with Space Propagation and Pixel-Level Refinement Pixelwise View Selection for Unstructured Multi-View Stereo - [COLMAP] A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction Massively Parallel Multiview Stereopsis by Surface Normal Diffusion - [Gipuma] Patchmatch stereo-stereo matching with slanted support windows Efficient Large-scale Multi-View Stereo for Ultra High-resolution Image Sets - [Tola / EMVS] Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo - [Camp] Accurate, Dense, and Robust Multi-View Stereopsis - [Furu / PMVS] 
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