Multi-View Stereo based on deep learning
简称/笔记 | 论文题目 | 出处(年份) | 原文 代码 |
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1 | MVSNet | MVSNet: Depth Inference for Unstructured Multi-view Stereo | ECCV 2018 | paper code |
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2 | R-MVSNet | Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference | CVPR 2019 | paper code |
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3 | Point-MVSNet | Point-based multi-view stereo network | ICCV 2019 oral | paper code |
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4 | P-MVSNet | P-MVSNet: Learning Patch-wise Matching Confidence Aggregation for Multi-View Stereo | ICCV 2019 | paper | ★ |
5 | CVP-MVSNet | Cost Volume Pyramid Based Depth Inference for Multi-View Stereo | CVPR 2020 oral | paper code |
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6 | RayNet | RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials | CVPR 2018 oral | paper code |
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7 | AttMVSNet | Attention-Aware Multi-View Stereo | CVPR 2020 | paper | ★☆ |
8 | CasMVSNet | Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching | CVPR 2020 oral | paper code |
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9 | PatchmatchNet | PatchmatchNet: Learned Multi-View Patchmatch Stereo | CVPR 2021 oral | paper code |
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10 | MVSCRF | MVSCRF: Learning Multi-View Stereo With Conditional Random Fields | ICCV 2019 | paper | ★★☆ |
11 | PVA-MVSNet | Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation | ECCV 2020 | paper code |
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12 | FastMVSNet | Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement | CVPR 2020 | paper code |
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13 | UCSNet | Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness | CVPR 2020 oral | paper code |
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14 | MVSNet++ | MVSNet++: Learning Depth-Based Attention Pyramid Features for Multi-View Stereo | TIP 2020 | paper | ★☆ |
15 | SurfaceNet+ | SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-View Stereopsis | TPAMI 2021 | paper code |
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16 | Vis-MVSNet | Visibility-aware Multi-view Stereo Network | BMVC 2020 best paper | paper code |
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17 | PVSNet | PVSNet: Pixelwise Visibility-Aware Multi-View Stereo Network. | CVPR 2020 | paper | ★★★★☆ |
18 | D2HC-RMVSNet | Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking | ECCV 2020 | paper code |
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19 | BP-MVSNet | BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo | 3DV 2020 | paper | ★☆ |
20 | TransMVSNet | TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers | CVPR 2022 | paper code |
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21 | GBi-Net | Generalized Binary Search Network for Highly-Efficient Multi-View Stereo | CVPR 2022 | paper code |
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22 | IterMVS | IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo | CVPR 2022 | paper code |
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23 | CIDER | Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume | CVPR 2019 | paper code |
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24 | UniMVSNet | Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation and Focal Loss | CVPR 2022 | paper code |
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25 | AA-RMVSNet | AA-RMVSNet: Adaptive Aggregation Recurrent Multi-View Stereo Network | ICCV 2021 | paper code |
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26 | MVSTER | MVSTER: Epipolar Transformer for Efficient Multi-View Stereo | ECCV 2022 | paper code |
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27 | EPP-MVSNet | EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo | CVPR 2022 | paper code |
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28 | CDS-MVSNet | Curvature-guided dynamic scale networks for Multi-view Stereo | ICLR 2022 | paper code |
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29 | LANet | Long-range Attention Network for Multi-View Stereo | WACV 2021 | paper | ★★☆ |
30 | ACMMP | Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo | TPAMI 2022 | paper code |
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31 | CER-MVS | Multiview Stereo with Cascaded Epipolar RAFT | ECCV 2022 | paper code |
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32 | NP-CVP-MVSNet | Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo | CVPR 2022 | paper code |
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33 | GigaMVS | GigaMVS: A Benchmark for Ultra-large-scale Gigapixel-level 3D Reconstruction | TPAMI 2021 | paper code |
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34 | RayMVSNet | RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo | CVPR 2022 | paper | ★★★☆ |
35 | Effi-MVS | Efficient Multi-view Stereo by Iterative Dynamic Cost Volume | CVPR 2022 | paper code |
★★★ |
- 对极几何 | Epipolar Geometry
- 单应变换 | Homography
- 平面扫描 | Plan Sweeping
- 立体几何匹配 | Stereo Matching
- 深度图像 | RGB-D