/MVS

Multi-View Stereo based on deep learning. | Learning notes, codes and more

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MVS

Multi-View Stereo based on deep learning

📃论文列表

MVS系列核心创新点 & 缺陷

简称/笔记 论文题目 出处(年份) 原文
代码
推荐值
1 MVSNet MVSNet: Depth Inference for Unstructured Multi-view Stereo ECCV 2018 paper
code
★★★★★
2 R-MVSNet Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference CVPR 2019 paper
code
★★★
3 Point-MVSNet Point-based multi-view stereo network ICCV 2019 oral paper
code
★★★★
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
★★★★★
6 RayNet RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials CVPR 2018 oral paper
code
★★★☆
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
★★★★★
9 PatchmatchNet PatchmatchNet: Learned Multi-View Patchmatch Stereo CVPR 2021oral paper
code
★★★☆

🔬项目/代码

  • fusibile深度图融合点云 fusibile env setup
  • MVSNet MVSNet env setup MVSNet code doc
  • MVSNet_pl MVSNet_pl env setup MVSNet_pl code doc

    pytorch-lightning version of MVSNet

  • PointMVSNet PointMVSNet env setup
  • CVP-MVSNet CVP-MVSNet env setup CVP-MVSNet code doc