Awesome-MVS

Contributions welcomed!

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

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

Learning-based MVS Methods

2024

GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo

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Multi-View Stereo Reconstruction Based on Adaptive Aggregation and Coordinate Attention Mechanism - [AC-MVSNet]

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CT-MVSNet: Efficient Multi-View Stereo with Cross-scale Transformer

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Feature Distribution Normalization Network for Multi-View Stereo - [FDN-MVS]

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MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo

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RobustMVS: Single Domain Generalized Deep Multi-view Stereo

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CT-MVSNet: Curvature-Guided Multi-View Stereo with Transformers

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Learning Deformable Hypothesis Sampling for Accurate PatchMatch - [DS-PMNet]

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HAMMER: Learning Entropy Maps to Create Accurate 3D Models in Multi-View Stereo

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GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo

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2023

Semi-supervised Deep Multi-view Stereo - [SDA-MVS]

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S-OmniMVS: Incorporating Sphere Geometry into Omnidirectional Stereo Matching

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When Epipolar Constraint Meets Non-Local Operators in Multi-View Stereo - [ET-MVSNet]

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CL-MVSNet: Unsupervised Multi-View Stereo with Dual-Level Contrastive Learning

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Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells - [DMVSNet]

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Bi-ClueMVSNet: Learning Bidirectional Occlusion Clues for Multi-View Stereo

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Costformer: Cost Transformer for Cost Aggregation in Multi-View Stereo

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Multi‑View Stereo Network With Point Attention - [PA-PointMVSNet]

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Edge-Aware Spatial Propagation Network for Multi-view Depth Estimation

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Uncertainty Awareness With Adaptive Propagation for Multi-View Stereo - [AP-UCSNet]

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AdaptMVSNet: Efficient Multi-View Stereo With Adaptive Convolution and Attention Fusion

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Adaptive Region Aggregation for Multi-View Stereo Matching Using Deformable Convolutional Networks

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RepC-MVSNet: A Reparameterized Self-Supervised 3D Reconstruction Algorithm for Wheat 3D Reconstruction

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ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo

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ARAI-MVSNet: A Multi-View Stereo Depth Estimation Network With Adaptive Depth Range and Depth Interval

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DSC-MVSNet: Attention Aware Cost Volume Regularization Based on Depthwise Separable Convolution for Multi-View Stereo

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NR-MVSNet: Learning Multi-View Stereo Based on Normal Consistency and Depth Refinement

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PT-MVSNet: Overlapping Attention Multi-view Stereo Network with Transformers

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Multi-View Stereo Network With Gaussian Distribution Iteration - [GDINet]

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

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GeoMVSNet: Learning Multi-View Stereo with Geometry Perception

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

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RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo

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Iterative Geometry Encoding Volume for Stereo Matching - [IGEV-MVS]

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N2MVSNet: Non-Local Neighbors Aware Multi-View Stereo Network

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

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Unsupervised OmniMVS: Efficient Omnidirectional Depth Inference via Establishing Pseudo-Stereo Supervision - [Un-OmniMVS]

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MG-MVSNet: Multiple Granularities Feature Fusion Network for Multi-View Stereo

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FFP-MVSNet: Feature Fusion Based Patchmatch for Multi-View Stereo

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MosaicMVS: Mosaic-based Omnidirectional Multi-View Stereo for Indoor Scenes

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DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo

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360MVSNet: Deep Multi-View Stereo Network with 360◦ Images for Indoor Scene Reconstruction

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nLMVS-Net: Deep Non-Lambertian Multi-View Stereo

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Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation - [EPNet]

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Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity - [DispMVS]

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MVSFormer: Multi-View Stereo with Pre-trained Vision Transformers and Temperature-based Depth

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2022

GigaMVS: A Benchmark for Ultra-Large-Scale Gigapixel-Level 3D Reconstruction

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Multistage Pixel-Visibility Learning With Cost Regularization for Multiview Stereo

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Global Contextual Complementary Network for Multi-View Stereo

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Hybrid Cost Volume Regularization for Memory-efficient Multi-View Stereo Networks - [HR-MVSNet]

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Sparse Prior Guided Deep Multi-View Stereo - [SPGNet]

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

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Adaptive Range guided Multi-View Depth Estimation with Normal Ranking Loss - [BDE-MVSNet]

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ElasticMVS: Learning Elastic Part Representation for Self-Supervised Multi-View Stereopsis

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WT-MVSNet: Window-based Transformers for Multi-View Stereo

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Multi-View Guided Multi-View Stereo - [Guided-MVS]

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ParseMVS: Learning Primitive-aware Surface Representations for Sparse Multi-View Stereopsis

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Self-Supervised Multi-View Stereo via Adjacent Geometry Guided Volume Completion

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Self-supervised Multi-View Stereo via Inter and Intra Network Pseudo Depth

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Deep PatchMatch MVS with Learned Patch Coplanarity, Geometric Consistency and Adaptive Pixel Sampling

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PSP-MVSNet: Deep Patch-Based Similarity Perceptual for Multi-View Stereo Depth Inference

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End-to-End Multi-View Structure-from-Motion with Hypercorrelation Volumes

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A Benchmark and a Baseline for Robust Multi-View Depth Estimation

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Cost Volume Pyramid Network with Multi-strategies Range Searching for Multi-View Stereo - [MSCVP-MVSNet]

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ATLAS-MVSNet: Attention Layers for Feature Extraction and Cost Volume Regularization in Multi-View Stereo

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DS-MVSNet: Unsupervised Multi-View Stereo via Depth Synthesis

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IS-MVSNet: Importance-sampling-based MVSNet

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KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-View Stereo

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Semi-supervised Deep Multi-View Stereo

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Miper-MVS: Multi-Scale Itearative Probability Estimation with Refinement for Efficient Multi-View Stereo

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RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering

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Enhancing Multi-View Stereo with Contrastive Matching and Weighted Focal Loss

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MVSTER: Epipolar Transformer for Efficient Multi-View Stereo

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Multiview Stereo with Cascaded Epipolar RAFT - [CER-MVS]

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Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-View Reconstruction

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Bidirectional Hybrid LSTM Based Recurrent Neural Network for Multi-View Stereo - [BH-MVSNet]

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Exploiting Correspondences with All-pairs Correlations for Multi-View Depth Estimation

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Multi-View Stereo with Transformer - [MVSTR]

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

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Efficient Multi-View Stereo by Iterative Dynamic Cost Volume - [Effi-MVS]

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Non-parametric Depth Distribution Modelling based Depth Inference for Multi-View Stereo - [NP-CVP-MVS]

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Generalized Binary Search Network for Highly-Efficient Multi-View Stereo - [GBi-Net]

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

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TransMVSNet: Global Context-aware Multi-View Stereo Network with Transformers

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IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo

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Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry - [MaGNet]

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Curvature-guided dynamic scale networks for Multi-View Stereo - [CDS-MVSNet]

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DDL-MVS: Depth Discontinuity Learning for MVS Networks - [iMVS]

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PatchMVSNet: Patch-wise Unsupervised Multi-View Stereo for Weakly-Textured Surface Reconstruction

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PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo

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RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo

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DRI-MVSNet: A Depth Residual Inference Network for Multi-View Stereo Images

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A Semi‑Supervised Method for PatchMatch Multi‑View Stereo with Sparse Points

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DEMVSNet: Denoising and Depth Inference for Unstructured Multi‐view Stereo on Noised Images

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

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2021

Long-range Attention Network for Multi-View Stereo

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PatchmatchNet: Learned Multi-View Patchmatch Stereo

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DeepVideoMVS: Multi-View Stereo on Video With Recurrent Spatio-Temporal Fusion

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Self-Supervised Learning of Depth Inference for Multi-View Stereo

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Mˆ3VSNet: Unsupervised Multi-Metric Multi-View Stereo Network

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AA-RMVSNet: Adaptive Aggregation Recurrent Multi-View Stereo Network

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Digging into Uncertainty in Self-supervised Multi-View Stereo

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Self-Supervised Multi-View Stereo via Effective Co-segmentation and Data-Augmentation

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MVS2D: Efficient Multi-View Stereo via Attention-Driven 2D Convolutions

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IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions

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EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo

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NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo

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

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Learning Signed Distance Field for Multi-View Surface Reconstruction - [MVSDF]

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PatchMatch-RL: Deep MVS With Pixelwise Depth, Normal, and Visibility

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Deep Multi-View Stereo Gone Wild

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

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AACVP-MVSNet: Attention-Aware Cost Volume Pyramid Based Multi-View Stereo Network for 3D Reconstruction

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Non-local Recurrent Regularization Networks for Multi-View Stereo

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DDR-Net: Learning Multi-Stage Multi-View Stereo With Dynamic Depth Range

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Tandem: Tracking and Dense Mapping in Real-Time Using Deep Multi-View Stereo - [CVA-MVSNet]

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2020

BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks

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MVSNet++: Learning Depth-Based Attention Pyramid Features for Multi-View Stereo

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Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching

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BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo

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Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness - [UCSNet]

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Fast-MVSNet: Sparse-to-Dense Multi-View Stereo with Learned Propagation and Gauss-Newton Refinement

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

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Attention-Aware Multi-View Stereo - [AttMVSNet]

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

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Cost Volume Pyramid Based Depth Inference for Multi-View Stereo - [CVP-MVSNet]

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Pyramid Multi-View Stereo Net with Self-Adaptive View Aggregation - [PVAMVSNet]

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Dense Hybrid Recurrent Multi-View Stereo Net with Dynamic Consistency Checking

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Learning to Adapt Multi-View Stereo by Self-Supervision

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Visibility-Aware Multi-View Stereo Network - [Vis-MVSNet]

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

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NRMVS: Non-Rigid Multi-View Stereo

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2019

Multi-View Stereo by Temporal Nonparametric Fusion

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DPSNet: End-to-end Deep Plane Sweep Stereo

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Recurrent Mvsnet for High-Resolution Multi-View Stereo Depth Inference - [RMVSNet]

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Point-Based Multi-View Stereo Network - [PointMVSNet]

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P-MVSNet: Learning Patch-Wise Matching Confidence Aggregation for Multi-View Stereo

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MVSCRF: Learning Multi-View Stereo with Conditional Random Fields

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Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency

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MVS2: Deep Unsupervised Multi-View Stereo with Multi-View Symmetry

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2018

DeepMVS: Learning Multi-View Stereopsis

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MVDepthNet: Real-time Multiview Depth Estimation Neural Network

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MVSNet: Depth Inference for Unstructured Multi-View Stereo

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2017

SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis

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PatchMatch-based MVS Methods

2024

Multiview Stereo via Noise Suppression PatchMatch

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Polarimetric PatchMatch Multi-View Stereo - [PolarPMS]

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2023

Hierarchical Prior Mining for Non-local Multi-View Stereo - [HPM-MVS]

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TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo

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Hybrid-MVS: Robust Multi-View Reconstruction with Hybrid Optimization of Visual and Depth Cues

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Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo - [APD-MVS]

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

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

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Multiple View Stereo with quadtree-guided priors

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2022

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

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Multi-View Depth Estimation with Color-Aware Propagation and Texture-Aware Triangulation

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Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo - [ACMMP]

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Revisiting PatchMatch Multi-View Stereo for Urban 3D Reconstruction

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2021

PHI-MVS: Plane Hypothesis Inference Multi-View Stereo for Large-Scale Scene Reconstruction

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DP-MVS: Detail Preserving Multi-View Surface Reconstruction of Large-Scale Scenes

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Adaptive Pixelwise Inference Multi-View Stereo

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2020

Mesh-Guided Multi-View Stereo with Pyramid Architecture - [MG-MVS]

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Planar Prior Assisted PatchMatch Multi-View Stereo - [ACMP]

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DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction

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MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction

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Confidence-Based Large-Scale Dense Multi-View Stereo - [CLD-MVS]

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A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation

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2019

Multi-Scale Geometric Consistency Guided Multi-View Stereo - [ACMH, ACMM]

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TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo

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

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Pyramid Multi-View Stereo with Local Consistency - [PLC]

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2018

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

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Early

Multi-View Stereo Combined with Space Propagation and Pixel-Level Refinement

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Pixelwise View Selection for Unstructured Multi-View Stereo - [COLMAP]

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A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction

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Massively Parallel Multiview Stereopsis by Surface Normal Diffusion - [Gipuma]

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Patchmatch stereo-stereo matching with slanted support windows

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Efficient Large-scale Multi-View Stereo for Ultra High-resolution Image Sets - [Tola / EMVS]

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

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Accurate, Dense, and Robust Multi-View Stereopsis - [Furu / PMVS]

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Other Resources

• awesome-mvs
• Awesome-Learning-MVS