% Key papers for Monocular 2D-to-3D pose lifting (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2017_coarse_12109,
  title = {{Coarse-To-Fine Volumetric Prediction for Single-Image 3D Human Pose}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2017_3d_11992,
  title = {{3D Human Pose Estimation = 2D Pose Estimation + Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_2d_12772,
  title = {{2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Luvizon_2D3D_Pose_Estimation_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_lifting_12430,
  title = {{Lifting From the Deep: Convolutional 3D Pose Estimation From a Single Image}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_ordinal_13449,
  title = {{Ordinal Depth Supervision for 3D Human Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Pavlakos_Ordinal_Depth_Supervision_CVPR_2018_paper.html},
}

@inproceedings{cvpr2016_sparseness_11882,
  title = {{Sparseness Meets Deepness: 3D Human Pose Estimation From Monocular Video}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2018_3d_12773,
  title = {{3D Human Pose Estimation in the Wild by Adversarial Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_3D_Human_Pose_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_3d_11993,
  title = {{3D Human Pose Estimation From a Single Image via Distance Matrix Regression}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{aaai2018_learning_104011,
  title = {{Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12270},
}

@inproceedings{cvpr2017_lcr_12382,
  title = {{LCR-Net: Localization-Classification-Regression for Human Pose}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_self_14795,
  title = {{Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_graph_17089,
  title = {{Graph Stacked Hourglass Networks for 3D Human Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2016_structured_11895,
  title = {{Structured Feature Learning for Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2019_repnet_14730,
  title = {{RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_learning_13291,
  title = {{Learning Monocular 3D Human Pose Estimation From Multi-View Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Rhodin_Learning_Monocular_3D_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_attention_15156,
  title = {{Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2016_direct_11499,
  title = {{Direct Prediction of 3D Body Poses From Motion Compensated Sequences}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{neurips2016_mocap_55878,
  title = {{MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/8498},
}

@inproceedings{cvpr2019_generating_14247,
  title = {{Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2017_harvesting_12330,
  title = {{Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2024_chatpose_22961,
  title = {{ChatPose: Chatting about 3D Human Pose}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29560},
}

@inproceedings{cvpr2024_a_22646,
  title = {{A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31561},
}

@inproceedings{aaai2025_tcpformer_10900,
  title = {{TCPFormer: Learning Temporal Correlation with Implicit Pose Proxy for 3D Human Pose Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32583},
}

@inproceedings{cvpr2025_posebh_27281,
  title = {{PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33228},
}

@inproceedings{aaai2024_posegen_6969,
  title = {{PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27960},
}

@inproceedings{neurips2024_manipose_74532,
  title = {{ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93050},
}

@inproceedings{cvpr2024_towards_25057,
  title = {{Towards Robust 3D Pose Transfer with Adversarial Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30394},
}

@inproceedings{cvpr2025_pose_27279,
  title = {{Pose Priors from Language Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34694},
}

@inproceedings{aaai2026_robust_104845,
  title = {{Robust Long-Term Test-Time Adaptation for 3D Human Pose Estimation Through Motion Discretization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38034},
}

@inproceedings{aaai2025_sequential_10749,
  title = {{Sequential Joint Dependency Aware Human Pose Estimation with State Space Model}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33029},
}

@inproceedings{icml2025_semantics_48608,
  title = {{Semantics-aware Test-time Adaptation for 3D Human Pose Estimation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44013},
}

@inproceedings{icml2025_cups_48931,
  title = {{CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43692},
}

@inproceedings{icml2026_dispose_51670,
  title = {{DisPOSE: Projected Polystochastic Diffusion for Self-Supervised Multi-View 3D Human Pose Estimation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=OfzLydmMHe},
}

@inproceedings{neurips2025_pandapose_77601,
  title = {{PandaPose: 3D Human Pose Lifting from a Single Image via Propagating 2D Pose Prior to 3D Anchor Space}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=VcRc99EdTZ},
}

@inproceedings{neurips2025_3d_79321,
  title = {{3D Human Pose Estimation with Muscles}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=oB5GHrsfI4},
}

@inproceedings{iclr2025_champ_83222,
  title = {{CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28587},
}

@inproceedings{iclr2026_true_87326,
  title = {{True Self-Supervised Novel View Synthesis is Transferable}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=aJJppqAm6r},
}

@inproceedings{neurips2026_compose_90536,
  title = {{COMPOSE: Hypergraph Cover Optimization for Multi-view 3D Human Pose Estimation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/150956},
}

@inproceedings{cvpr2026_mocap_96791,
  title = {{Mocap-2-to-3: Multi-view Lifting for Monocular Motion Recovery with 2D Pretraining}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Wang_Mocap-2-to-3_Multi-view_Lifting_for_Monocular_Motion_Recovery_with_2D_Pretraining_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_la_97901,
  title = {{LA-Pose: Latent Action Pretraining Meets Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Wang_LA-Pose_Latent_Action_Pretraining_Meets_Pose_Estimation_CVPR_2026_paper.html},
}