% Key papers for Category-level object pose estimation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2018_rotationnet_13548,
  title = {{RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews From Unsupervised Viewpoints}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Kanezaki_RotationNet_Joint_Object_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_deep_12161,
  title = {{Deep MANTA: A Coarse-To-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis From Monocular Image}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_strike_14875,
  title = {{Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_category_15243,
  title = {{Category-Level Articulated Object Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2017_poseidon_12524,
  title = {{POSEidon: Face-From-Depth for Driver Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2022_onepose_19511,
  title = {{OnePose: One-Shot Object Pose Estimation Without CAD Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2018_3d_12776,
  title = {{3D Pose Estimation and 3D Model Retrieval for Objects in the Wild}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Grabner_3D_Pose_Estimation_CVPR_2018_paper.html},
}

@inproceedings{cvpr2018_feature_13108,
  title = {{Feature Mapping for Learning Fast and Accurate 3D Pose Inference From Synthetic Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Rad_Feature_Mapping_for_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_keypose_15726,
  title = {{KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2018_discovery_57052,
  title = {{Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11218},
}

@inproceedings{aaai2019_mono3d_103460,
  title = {{Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4856},
}

@inproceedings{cvpr2022_surfemb_19960,
  title = {{SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation With Learnt Surface Embeddings}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2020_neural_15941,
  title = {{Neural Head Reenactment with Latent Pose Descriptors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_unsupervised_16429,
  title = {{Unsupervised Representation Learning for Gaze Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_osop_19479,
  title = {{OSOP: A Multi-Stage One Shot Object Pose Estimation Framework}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_templates_19991,
  title = {{Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_gigapose_23627,
  title = {{GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29300},
}

@inproceedings{cvpr2023_hs_21124,
  title = {{HS-Pose: Hybrid Scope Feature Extraction for Category-Level Object Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21615},
}

@inproceedings{aaai2020_fdn_103867,
  title = {{FDN: Feature Decoupling Network for Head Pose Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6974},
}

@inproceedings{cvpr2020_self_16207,
  title = {{Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2024_secondpose_24763,
  title = {{SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31505},
}

@inproceedings{cvpr2025_gaze_26394,
  title = {{Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34852},
}

@inproceedings{cvpr2024_rgbd_24565,
  title = {{RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29479},
}

@inproceedings{cvpr2024_nope_24248,
  title = {{NOPE: Novel Object Pose Estimation from a Single Image}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31476},
}

@inproceedings{cvpr2025_you_28168,
  title = {{You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35000},
}

@inproceedings{cvpr2024_object_24324,
  title = {{Object Pose Estimation via the Aggregation of Diffusion Features}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29299},
}

@inproceedings{aaai2024_mfos_6575,
  title = {{MFOS: Model-Free \& One-Shot Object Pose Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28072},
}

@inproceedings{cvpr2025_gce_26350,
  title = {{GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35180},
}

@inproceedings{cvpr2024_learning_23969,
  title = {{Learning Structure-from-Motion with Graph Attention Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29788},
}

@inproceedings{cvpr2024_dvmnet_23102,
  title = {{DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31219},
}

@inproceedings{cvpr2024_nrdf_24249,
  title = {{NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31808},
}

@inproceedings{iclr2024_pf_35231,
  title = {{PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17842},
}

@inproceedings{cvpr2025_crisp_25666,
  title = {{CRISP: Object Pose and Shape Estimation with Test-Time Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35220},
}

@inproceedings{cvpr2025_learning_26735,
  title = {{Learning Affine Correspondences by Integrating Geometric Constraints}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34957},
}

@inproceedings{cvpr2025_rethinking_27438,
  title = {{Rethinking Correspondence-based Category-Level Object Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34619},
}

@inproceedings{cvpr2024_dynamic_23297,
  title = {{Dynamic Support Information Mining for Category-Agnostic Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29709},
}

@inproceedings{cvpr2025_unopose_27974,
  title = {{UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33952},
}

@inproceedings{iclr2024_cameras_33974,
  title = {{Cameras as Rays: Pose Estimation via Ray Diffusion}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19101},
}

@inproceedings{aaai2025_free_9230,
  title = {{Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32736},
}