% Key papers for Depth-based hand pose regression (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2018_ganerated_13140,
  title = {{GANerated Hands for Real-Time 3D Hand Tracking From Monocular RGB}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Mueller_GANerated_Hands_for_CVPR_2018_paper.html},
}

@inproceedings{cvpr2018_first_13121,
  title = {{First-Person Hand Action Benchmark With RGB-D Videos and 3D Hand Pose Annotations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Garcia-Hernando_First-Person_Hand_Action_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_honnotate_15631,
  title = {{HOnnotate: A Method for 3D Annotation of Hand and Object Poses}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_v2v_13693,
  title = {{V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation From a Single Depth Map}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Moon_V2V-PoseNet_Voxel-to-Voxel_Prediction_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_3d_11990,
  title = {{3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation From Single Depth Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_cross_12936,
  title = {{Cross-Modal Deep Variational Hand Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Spurr_Cross-Modal_Deep_Variational_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_h_14271,
  title = {{H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_dexycb_16862,
  title = {{DexYCB: A Benchmark for Capturing Hand Grasping of Objects}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2016_robust_11817,
  title = {{Robust 3D Hand Pose Estimation in Single Depth Images: From Single-View CNN to Multi-View CNNs}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2017_bighand2_12085,
  title = {{BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_depth_13009,
  title = {{Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Yuan_Depth-Based_3D_Hand_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_hope_15630,
  title = {{HOPE-Net: A Graph-Based Model for Hand-Object Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_pushing_14680,
  title = {{Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_weakly_16477,
  title = {{Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_monocular_15904,
  title = {{Monocular Real-Time Hand Shape and Motion Capture Using Multi-Modal Data}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_dense_13000,
  title = {{Dense 3D Regression for Hand Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Wan_Dense_3D_Regression_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_leveraging_15833,
  title = {{Leveraging Photometric Consistency Over Time for Sparsely Supervised Hand-Object Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_ganhand_15588,
  title = {{GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_semi_17875,
  title = {{Semi-Supervised 3D Hand-Object Poses Estimation With Interactions in Time}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2016_deephand_11485,
  title = {{DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed With Deep Features}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2024_reconstructing_24600,
  title = {{Reconstructing Hands in 3D with Transformers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30050},
}

@inproceedings{cvpr2025_wilor_28158,
  title = {{WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wild}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34788},
}

@inproceedings{cvpr2025_hot3d_26475,
  title = {{HOT3D: Hand and Object Tracking in 3D from Egocentric Multi-View Videos}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34244},
}

@inproceedings{cvpr2024_hoisdf_23669,
  title = {{HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29764},
}

@inproceedings{neurips2024_hamba_73938,
  title = {{Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93574},
}

@inproceedings{cvpr2024_single_24829,
  title = {{Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29787},
}

@inproceedings{aaai2024_keypoint_6378,
  title = {{Keypoint Fusion for RGB-D Based 3D Hand Pose Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28166},
}

@inproceedings{cvpr2024_ms_24082,
  title = {{MS-MANO: Enabling Hand Pose Tracking with Biomechanical Constraints}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30498},
}

@inproceedings{cvpr2025_hawor_26484,
  title = {{HaWoR: World-Space Hand Motion Reconstruction from Egocentric Videos}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32878},
}

@inproceedings{cvpr2025_handos_26488,
  title = {{HandOS: 3D Hand Reconstruction in One Stage}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33879},
}

@inproceedings{neurips2024_posture_71721,
  title = {{Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95565},
}

@inproceedings{cvpr2025_egopressure_26111,
  title = {{EgoPressure: A Dataset for Hand Pressure and Pose Estimation in Egocentric Vision}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33067},
}

@inproceedings{cvpr2025_unihope_27998,
  title = {{UniHOPE: A Unified Approach for Hand-Only and Hand-Object Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33413},
}

@inproceedings{neurips2024_emg2pose_72896,
  title = {{emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97615},
}

@inproceedings{aaai2024_monocular_6672,
  title = {{Monocular 3D Hand Mesh Recovery via Dual Noise Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28087},
}

@inproceedings{cvpr2025_analyzing_25478,
  title = {{Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32911},
}

@inproceedings{aaai2024_cross_5524,
  title = {{Cross-Constrained Progressive Inference for 3D Hand Pose Estimation with Dynamic Observer-Decision-Adjuster Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28048},
}

@inproceedings{cvpr2025_hand_26487,
  title = {{Hand-held Object Reconstruction from RGB Video with Dynamic Interaction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33963},
}

@inproceedings{cvpr2025_vton_28063,
  title = {{VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34090},
}

@inproceedings{aaai2026_handmcm_100477,
  title = {{HandMCM: Multi-modal Point Cloud-based Correspondence State Space Model for 3D Hand Pose Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37324},
}