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

@inproceedings{cvpr2016_a_11354,
  title = {{A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2019_inverserendernet_14335,
  title = {{InverseRenderNet: Learning Single Image Inverse Rendering}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2017_polarimetric_12539,
  title = {{Polarimetric Multi-View Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_self_14789,
  title = {{Self-Calibrating Deep Photometric Stereo Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_lighthouse_15838,
  title = {{Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_learning_14448,
  title = {{Learning to Minify Photometric Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{icml2018_neural_36868,
  title = {{Neural Inverse Rendering for General Reflectance Photometric Stereo}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1901},
}

@inproceedings{cvpr2018_polarimetric_13479,
  title = {{Polarimetric Dense Monocular SLAM}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_Polarimetric_Dense_Monocular_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_accurate_12035,
  title = {{Accurate Depth and Normal Maps From Occlusion-Aware Focal Stack Symmetry}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2023_scalable_22126,
  title = {{Scalable, Detailed and Mask-Free Universal Photometric Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23199},
}

@inproceedings{cvpr2021_uncalibrated_18065,
  title = {{Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2017_semi_12629,
  title = {{Semi-Calibrated Near Field Photometric Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2016_unbiased_11940,
  title = {{Unbiased Photometric Stereo for Colored Surfaces: A Variational Approach}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2017_stereo_12664,
  title = {{Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2021_polarimetric_17624,
  title = {{Polarimetric Normal Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_uncertainty_20114,
  title = {{Uncertainty-Aware Deep Multi-View Photometric Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2018_uncalibrated_13677,
  title = {{Uncalibrated Photometric Stereo Under Natural Illumination}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Mo_Uncalibrated_Photometric_Stereo_CVPR_2018_paper.html},
}

@inproceedings{cvpr2022_universal_20132,
  title = {{Universal Photometric Stereo Network Using Global Lighting Contexts}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_diligent102_18659,
  title = {{DiLiGenT102: A Photometric Stereo Benchmark Dataset With Controlled Shape and Material Variation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2018_photometric_13467,
  title = {{Photometric Stereo in Participating Media Considering Shape-Dependent Forward Scatter}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Fujimura_Photometric_Stereo_in_CVPR_2018_paper.html},
}

@inproceedings{cvpr2024_nersp_24266,
  title = {{NeRSP: Neural 3D Reconstruction for Reflective Objects with Sparse Polarized Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30265},
}

@inproceedings{cvpr2024_rnb_24570,
  title = {{RNb-NeuS: Reflectance and Normal-based Multi-View 3D Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29289},
}

@inproceedings{cvpr2024_diligenrt_23165,
  title = {{DiLiGenRT: A Photometric Stereo Dataset with Quantified Roughness and Translucency}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30987},
}

@inproceedings{cvpr2024_spin_24878,
  title = {{Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29895},
}

@inproceedings{cvpr2024_differentiable_23192,
  title = {{Differentiable Display Photometric Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30812},
}

@inproceedings{cvpr2024_sparse_24862,
  title = {{Sparse Views Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29241},
}

@inproceedings{cvpr2025_eventpsr_26171,
  title = {{EventPSR: Surface Normal and Reflectance Estimation from Photometric Stereo Using an Event Camera}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34991},
}

@inproceedings{cvpr2025_feature_26243,
  title = {{Feature-Preserving Mesh Decimation for Normal Integration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34800},
}

@inproceedings{cvpr2025_ps_27203,
  title = {{PS-EIP: Robust Photometric Stereo Based on Event Interval Profile}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33500},
}

@inproceedings{aaai2025_fnin_9113,
  title = {{FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-from-gradients}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32483},
}

@inproceedings{iclr2026_reli3d_85211,
  title = {{ReLi3D: Relightable Multi-view 3D Reconstruction with Disentangled Illumination}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=BlSKgQb3Vd},
}

@inproceedings{cvpr2026_olbedo_97708,
  title = {{Olbedo: An Albedo and Shading Aerial Dataset for Large-Scale Outdoor Environments}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Song_Olbedo_An_Albedo_and_Shading_Aerial_Dataset_for_Large-Scale_Outdoor_CVPR_2026_paper.html},
}

@inproceedings{aaai2026_geometry_104360,
  title = {{Geometry Meets Light: Leveraging Geometric Priors for Universal Photometric Stereo Under Limited Multi-Illumination Cues}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37887},
}