Multi-View Stereo based on deep learning
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 |
★★★☆ |