% Key papers for Learned mesh and geometric representations (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2019_occupancy_14596,
  title = {{Occupancy Networks: Learning 3D Reconstruction in Function Space}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2017_3dmatch_11997,
  title = {{3DMatch: Learning Local Geometric Descriptors From RGB-D Reconstructions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_neural_13419,
  title = {{Neural 3D Mesh Renderer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Kato_Neural_3D_Mesh_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_differentiable_15408,
  title = {{Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_an_12835,
  title = {{An Unsupervised Learning Model for Deformable Medical Image Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Balakrishnan_An_Unsupervised_Learning_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_abc_13802,
  title = {{ABC: A Big CAD Model Dataset for Geometric Deep Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{neurips2019_learning_58533,
  title = {{Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13995},
}

@inproceedings{neurips2016_fpnn_55721,
  title = {{FPNN: Field Probing Neural Networks for 3D Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6941},
}

@inproceedings{neurips2018_3d_56785,
  title = {{3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11982},
}

@inproceedings{cvpr2016_marr_11693,
  title = {{Marr Revisited: 2D-3D Alignment via Surface Normal Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
  url = {https://openaccess.thecvf.com/content_cvpr_2016/html/Bansal_Marr_Revisited_2D-3D_CVPR_2016_paper.html},
}

@inproceedings{cvpr2020_cvxnet_15317,
  title = {{CvxNet: Learnable Convex Decomposition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_networks_14564,
  title = {{Networks for Joint Affine and Non-Parametric Image Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_texturenet_14907,
  title = {{TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_3d_15048,
  title = {{3D Human Mesh Regression With Dense Correspondence}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_intra_15707,
  title = {{IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2019_scene_58954,
  title = {{Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13216},
}

@inproceedings{neurips2019_learning_58529,
  title = {{Learning to Infer Implicit Surfaces without 3D Supervision}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13897},
}

@inproceedings{cvpr2020_dualconvmesh_15442,
  title = {{DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_vox2cortex_20193,
  title = {{Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces From 3D MRI Scans With Geometric Deep Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2016_geometry_11571,
  title = {{Geometry-Informed Material Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2024_intraoperative_23834,
  title = {{Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29802},
}

@inproceedings{aaai2024_nilut_6736,
  title = {{NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27901},
}

@inproceedings{cvpr2024_ponq_24477,
  title = {{PoNQ: a Neural QEM-based Mesh Representation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30318},
}

@inproceedings{cvpr2025_3d_25327,
  title = {{3D Dental Model Segmentation with Geometrical Boundary Preserving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34966},
}

@inproceedings{cvpr2024_what_25281,
  title = {{What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31289},
}

@inproceedings{cvpr2024_3d_22623,
  title = {{3D Neural Edge Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30010},
}

@inproceedings{icml2024_learning_44135,
  title = {{Learning with 3D rotations, a hitchhiker's guide to SO(3)}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34317},
}

@inproceedings{neurips2025_polypose_77462,
  title = {{PolyPose: Deformable 2D/3D Registration via Polyrigid Transformations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=U7gu9x1xzx},
}

@inproceedings{aaai2024_gso_6098,
  title = {{GSO-Net: Grid Surface Optimization via Learning Geometric Constraints}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28656},
}

@inproceedings{neurips2024_learning_72072,
  title = {{Learning rigid-body simulators over implicit shapes for large-scale scenes and vision}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95252},
}

@inproceedings{aaai2026_unsupervised_104856,
  title = {{Unsupervised Multi-Parameter Inverse Solving for Reducing Ring Artifacts in 3D X-Ray CBCT}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38045},
}

@inproceedings{cvpr2024_fitting_23477,
  title = {{Fitting Flats to Flats}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30202},
}

@inproceedings{cvpr2024_g_23536,
  title = {{G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30178},
}

@inproceedings{icml2024_an_45428,
  title = {{An Intrinsic Vector Heat Network}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33023},
}

@inproceedings{icml2025_thickness_47694,
  title = {{Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44903},
}

@inproceedings{icml2025_geometric_49078,
  title = {{Geometric Algebra Planes: Convex Implicit Neural Volumes}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43546},
}

@inproceedings{icml2026_geometry_51747,
  title = {{Geometry-Aware Neural Optimizer for Shape Optimization and Inversion}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=PTaUjEBHat},
}

@inproceedings{neurips2024_improving_70774,
  title = {{Improving Neural Network Surface Processing with Principal Curvatures}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96354},
}

@inproceedings{neurips2025_3did_79213,
  title = {{3DID: Direct 3D Inverse Design for Aerodynamics with Physics-Aware Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=n30sfYPrDD},
}

@inproceedings{iclr2026_unified_84832,
  title = {{Unified Brain Surface and Volume Registration}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=7FvUJu63zq},
}