% Key papers for Distance-function surface reconstruction (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2020_sal_16149,
  title = {{SAL: Sign Agnostic Learning of Shapes From Raw Data}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_deep_12973,
  title = {{Deep Marching Cubes: Learning Explicit Surface Representations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Liao_Deep_Marching_Cubes_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_deep_14023,
  title = {{Deep Geometric Prior for Surface Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2022_poco_19542,
  title = {{POCO: Point Convolution for Surface Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_neural_21681,
  title = {{Neural Kernel Surface Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23110},
}

@inproceedings{cvpr2022_digs_18658,
  title = {{DiGS: Divergence Guided Shape Implicit Neural Representation for Unoriented Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_surface_19961,
  title = {{Surface Reconstruction From Point Clouds by Learning Predictive Context Priors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_reconstructing_19686,
  title = {{Reconstructing Surfaces for Sparse Point Clouds With On-Surface Priors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_learning_19177,
  title = {{Learning Deep Implicit Functions for 3D Shapes With Dynamic Code Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_critical_18539,
  title = {{Critical Regularizations for Neural Surface Reconstruction in the Wild}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_towards_22368,
  title = {{Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22245},
}

@inproceedings{aaai2023_neaf_4229,
  title = {{NeAF: Learning Neural Angle Fields for Point Normal Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25224},
}

@inproceedings{icml2020_implicit_38297,
  title = {{Implicit Geometric Regularization for Learning Shapes}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6096},
}

@inproceedings{neurips2020_neural_60413,
  title = {{Neural Unsigned Distance Fields for Implicit Function Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17023},
}

@inproceedings{cvpr2023_unsupervised_22485,
  title = {{Unsupervised Inference of Signed Distance Functions From Single Sparse Point Clouds Without Learning Priors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22521},
}

@inproceedings{cvpr2022_deepcurrents_18626,
  title = {{DeepCurrents: Learning Implicit Representations of Shapes With Boundaries}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2024_gridformer_6165,
  title = {{GridFormer: Point-Grid Transformer for Surface Reconstruction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28100},
}

@inproceedings{cvpr2024_unsupervised_25167,
  title = {{Unsupervised Occupancy Learning from Sparse Point Cloud}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29699},
}

@inproceedings{cvpr2024_3d_22621,
  title = {{3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31240},
}

@inproceedings{neurips2022_gensdf_64880,
  title = {{GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55303},
}

@inproceedings{cvpr2024_small_24840,
  title = {{Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31361},
}

@inproceedings{cvpr2025_a_25361,
  title = {{A Lightweight UDF Learning Framework for 3D Reconstruction Based on Local Shape Functions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32521},
}

@inproceedings{cvpr2025_learning_26737,
  title = {{Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32733},
}

@inproceedings{aaai2025_sharpening_10754,
  title = {{Sharpening Neural Implicit Functions with Frequency Consolidation Priors}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32199},
}

@inproceedings{cvpr2025_offsetopt_27115,
  title = {{OffsetOPT: Explicit Surface Reconstruction without Normals}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34222},
}

@inproceedings{cvpr2025_3d_25340,
  title = {{3D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33040},
}

@inproceedings{cvpr2025_toward_27891,
  title = {{Toward Robust Neural Reconstruction from Sparse Point Sets}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32581},
}

@inproceedings{neurips2024_multipull_72650,
  title = {{MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94734},
}

@inproceedings{aaai2024_lisr_6402,
  title = {{LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28239},
}

@inproceedings{neurips2024_inferring_71447,
  title = {{Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95809},
}

@inproceedings{neurips2024_flatten_73154,
  title = {{Flatten Anything: Unsupervised Neural Surface Parameterization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94277},
}

@inproceedings{iclr2025_implicit_83696,
  title = {{Implicit Neural Surface Deformation with Explicit Velocity Fields}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28123},
}

@inproceedings{icml2024_few_44440,
  title = {{Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34012},
}

@inproceedings{icml2026_metric_54161,
  title = {{Metric—Phase Fields: Decoupling Distance and Sign for Thin-Structure Reconstruction from Unoriented Point Clouds}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=mVsb2MZ7LA},
}

@inproceedings{neurips2025_mind_75145,
  title = {{MIND: Material Interface Generation from UDFs for Non-Manifold Surface Reconstruction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=4lR9OhAisI},
}

@inproceedings{icml2024_neuralindicator_43575,
  title = {{NeuralIndicator: Implicit Surface Reconstruction from Neural Indicator Priors}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34877},
}

@inproceedings{icml2026_noisesdf2noisesdf_52119,
  title = {{NoiseSDF2NoiseSDF: Learning Clean Neural Fields from Noisy Supervision}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=SqegQxm1ya},
}