% Key papers for Single-view 3D reconstruction (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2017_multi_12475,
  title = {{Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2020_implicit_15677,
  title = {{Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_pix3d_13470,
  title = {{Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Sun_Pix3D_Dataset_and_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_learning_14450,
  title = {{Learning to Reconstruct People in Clothing From a Single RGB Camera}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_3d_12780,
  title = {{3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Kundu_3D-RCNN_Instance-Level_3D_CVPR_2018_paper.html},
}

@inproceedings{neurips2017_marrnet_56462,
  title = {{MarrNet: 3D Shape Reconstruction via 2.5D Sketches}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8850},
}

@inproceedings{cvpr2018_deformable_12997,
  title = {{Deformable Shape Completion With Graph Convolutional Autoencoders}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Litany_Deformable_Shape_Completion_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_scan2cad_14771,
  title = {{Scan2CAD: Learning CAD Model Alignment in RGB-D Scans}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2016_structured_11897,
  title = {{Structured Prediction of Unobserved Voxels From a Single Depth Image}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2023_realfusion_22000,
  title = {{RealFusion: 360deg Reconstruction of Any Object From a Single Image}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21294},
}

@inproceedings{cvpr2021_learning_17256,
  title = {{Learning 3D Shape Feature for Texture-Insensitive Person Re-Identification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2018_im2struct_13204,
  title = {{Im2Struct: Recovering 3D Shape Structure From a Single RGB Image}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Niu_Im2Struct_Recovering_3D_CVPR_2018_paper.html},
}

@inproceedings{cvpr2016_a_11361,
  title = {{A Field Model for Repairing 3D Shapes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2018_pixels_13471,
  title = {{Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Shin_Pixels_Voxels_and_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_autolabeling_15171,
  title = {{Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2018_learning_57324,
  title = {{Learning to Reconstruct Shapes from Unseen Classes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11236},
}

@inproceedings{cvpr2016_large_11643,
  title = {{Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2019_learning_14425,
  title = {{Learning View Priors for Single-View 3D Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2016_efficient_11509,
  title = {{Efficient 3D Room Shape Recovery From a Single Panorama}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{iclr2019_learning_29224,
  title = {{Learning to Infer and Execute 3D Shape Programs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/639},
}

@inproceedings{cvpr2024_zeroshape_25317,
  title = {{ZeroShape: Regression-based Zero-shot Shape Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31771},
}

@inproceedings{cvpr2024_bayesian_22823,
  title = {{Bayesian Diffusion Models for 3D Shape Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30200},
}

@inproceedings{cvpr2024_shinobi_24706,
  title = {{SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29219},
}

@inproceedings{cvpr2024_eclipse_23320,
  title = {{Eclipse: Disambiguating Illumination and Materials using Unintended Shadows}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31631},
}

@inproceedings{cvpr2025_robust_27479,
  title = {{Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the Wild}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34234},
}

@inproceedings{cvpr2025_touch2shape_27888,
  title = {{Touch2Shape: Touch-Conditioned 3D Diffusion for Shape Exploration and Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33415},
}

@inproceedings{neurips2024_multistable_72942,
  title = {{Multistable Shape from Shading Emerges from Patch Diffusion}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94470},
}

@inproceedings{neurips2025_rayst3r_76874,
  title = {{RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=NpRbTTgRBG},
}

@inproceedings{cvpr2026_sam_96551,
  title = {{SAM 3D: 3Dfy Anything in Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Chen_SAM_3D_3Dfy_Anything_in_Images_CVPR_2026_paper.html},
}

@inproceedings{cvpr2025_learning_26748,
  title = {{Learning Partonomic 3D Reconstruction from Image Collections}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33556},
}

@inproceedings{cvpr2025_pytorchgeonodes_27330,
  title = {{PyTorchGeoNodes: Enabling Differentiable Shape Programs for 3D Shape Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33241},
}

@inproceedings{neurips2026_dinocomplete_94204,
  title = {{DinoComplete: 3D Shape Completion with Distilled Semantic Priors and State Space Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/155664},
}

@inproceedings{cvpr2026_jrm_95928,
  title = {{JRM: Joint Reconstruction Model for Multiple Objects without Alignment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Wu_JRM_Joint_Reconstruction_Model_for_Multiple_Objects_without_Alignment_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_fov_96059,
  title = {{FoV-Net: Rotation-Invariant CAD B-rep Learning via Field-of-View Ray Casting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Ballegeer_FoV-Net_Rotation-Invariant_CAD_B-rep_Learning_via_Field-of-View_Ray_Casting_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_rng_96094,
  title = {{RnG: A Unified Transformer for Complete 3D Modeling from Partial Observations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Xiang_RnG_A_Unified_Transformer_for_Complete_3D_Modeling_from_Partial_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_efficient_96502,
  title = {{Efficient Unrolled Networks for Large-Scale 3D Inverse Problems}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Vo_Efficient_Unrolled_Networks_for_Large-Scale_3D_Inverse_Problems_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_residual_96545,
  title = {{Residual Primitive Fitting of 3D Shapes with SuperFrusta}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Ganeshan_Residual_Primitive_Fitting_of_3D_Shapes_with_SuperFrusta_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_wave_97710,
  title = {{Wave-Former: Through-Occlusion 3D Reconstruction via Wireless Shape Completion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Dodds_Wave-Former_Through-Occlusion_3D_Reconstruction_via_Wireless_Shape_Completion_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_affostruction_98343,
  title = {{Affostruction: 3D Affordance Grounding with Generative Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Park_Affostruction_3D_Affordance_Grounding_with_Generative_Reconstruction_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_mirror_98986,
  title = {{Mirror Illusion Art}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Zhu_Mirror_Illusion_Art_CVPR_2026_paper.html},
}