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Awesome list of multi-view stereo papers
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Learning-based MVS Methods Unsupervised OmniMVS: Efficient Omnidirectional Depth Inference via Establishing Pseudo-Stereo Supervision - [Un-OmniMVS] MG-MVSNet: Multiple Granularities Feature Fusion Network 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 Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity MVSFormer: Multi-View Stereo with Pre-trained Vision Transformers and Temperature-based Depth 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 RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo 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 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 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. ISPRS Journal of Photogrammetry and Remote Sensing 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 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] Accurate, Dense, and Robust Multi-View Stereopsis - [Furu / PMVS] 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] Patchmatch stereo-stereo matching with slanted support windows Pixelwise view selection for unstructured multi-view stereo - [COLMAP] Massively Parallel Multiview Stereopsis by Surface Normal Diffusion - [Gipuma] A TV prior for high-quality scalable multi-view stereo reconstruction
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