% Key papers for Cost-volume multi-view stereo (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2018_pyramid_13493,
  title = {{Pyramid Stereo Matching Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Chang_Pyramid_Stereo_Matching_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_a_12018,
  title = {{A Multi-View Stereo Benchmark With High-Resolution Images and Multi-Camera Videos}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2020_cascade_15236,
  title = {{Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_group_14268,
  title = {{Group-Wise Correlation Stereo Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_recurrent_14713,
  title = {{Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_deepmvs_12989,
  title = {{DeepMVS: Learning Multi-View Stereopsis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Huang_DeepMVS_Learning_Multi-View_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_blendedmvs_15202,
  title = {{BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_patchmatchnet_17590,
  title = {{PatchmatchNet: Learned Multi-View Patchmatch Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_deep_15377,
  title = {{Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_cost_15296,
  title = {{Cost Volume Pyramid Based Depth Inference for Multi-View Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2023_iterative_21281,
  title = {{Iterative Geometry Encoding Volume for Stereo Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23201},
}

@inproceedings{cvpr2021_hitnet_17102,
  title = {{HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_transmvsnet_20080,
  title = {{TransMVSNet: Global Context-Aware Multi-View Stereo Network With Transformers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_multi_14544,
  title = {{Multi-Scale Geometric Consistency Guided Multi-View Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_fast_15537,
  title = {{Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2017_learning_56434,
  title = {{Learning a Multi-View Stereo Machine}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8833},
}

@inproceedings{cvpr2022_rethinking_19721,
  title = {{Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2022_monosdf_65501,
  title = {{MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55051},
}

@inproceedings{cvpr2022_raymvsnet_19677,
  title = {{RayMVSNet: Learning Ray-Based 1D Implicit Fields for Accurate Multi-View Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_neural_19423,
  title = {{Neural 3D Scene Reconstruction With the Manhattan-World Assumption}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_mocha_24159,
  title = {{MoCha-Stereo: Motif Channel Attention Network for Stereo Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31527},
}

@inproceedings{cvpr2025_monster_26987,
  title = {{MonSter: Marry Monodepth to Stereo Unleashes Power}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33630},
}

@inproceedings{cvpr2024_gomvs_23634,
  title = {{GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29460},
}

@inproceedings{cvpr2024_los_24017,
  title = {{LoS: Local Structure-Guided Stereo Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29890},
}

@inproceedings{cvpr2025_must3r_26886,
  title = {{MUSt3R: Multi-view Network for Stereo 3D Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34040},
}

@inproceedings{aaai2024_sd_7212,
  title = {{SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28512},
}

@inproceedings{aaai2024_iinet_6251,
  title = {{IINet: Implicit Intra-inter Information Fusion for Real-Time Stereo Matching}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28107},
}

@inproceedings{aaai2025_dvp_8629,
  title = {{DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33056},
}

@inproceedings{aaai2025_msp_9874,
  title = {{MSP-MVS: Multi-Granularity Segmentation Prior Guided Multi-View Stereo}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33057},
}

@inproceedings{aaai2024_learning_6443,
  title = {{Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28091},
}

@inproceedings{cvpr2024_learning_23961,
  title = {{Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31440},
}

@inproceedings{aaai2025_rrt_10453,
  title = {{RRT-MVS: Recurrent Regularization Transformer for Multi-View Stereo}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32418},
}

@inproceedings{iclr2024_mvsformer_35580,
  title = {{MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17493},
}

@inproceedings{aaai2025_dual_8825,
  title = {{Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32208},
}

@inproceedings{aaai2024_modeling_6666,
  title = {{Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28071},
}

@inproceedings{cvpr2024_generalizable_23594,
  title = {{Generalizable Novel-View Synthesis using a Stereo Camera}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31401},
}

@inproceedings{icml2024_stereo_44221,
  title = {{Stereo Risk: A Continuous Modeling Approach to Stereo Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34231},
}

@inproceedings{neurips2025_mvsmamba_75898,
  title = {{MVSMamba: Multi-View Stereo with State Space Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=DLVn11YIHx},
}

@inproceedings{iclr2026_dens3r_88267,
  title = {{Dens3R: A Foundation Model for 3D Geometry Prediction}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=kxVjQhkAWz},
}

@inproceedings{aaai2026_ec_104668,
  title = {{EC-MVSNet: Enhanced Cascaded Multi-View Stereo with Cross-Scale Relevance Integration}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37972},
}