% Key papers for Articulated and non-rigid shape learning (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2017_3d_11994,
  title = {{3D Menagerie: Modeling the 3D Shape and Pose of Animals}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2020_unsupervised_16422,
  title = {{Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_multi_13407,
  title = {{Multi-View Consistency as Supervisory Signal for Learning Shape and Pose Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Tulsiani_Multi-View_Consistency_as_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_killingfusion_12377,
  title = {{KillingFusion: Non-Rigid 3D Reconstruction Without Correspondences}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_unsupervised_14981,
  title = {{Unsupervised Learning of Dense Shape Correspondence}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_lions_13338,
  title = {{Lions and Tigers and Bears: Capturing Non-Rigid, 3D, Articulated Shape From Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zuffi_Lions_and_Tigers_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_neural_15938,
  title = {{Neural Cages for Detail-Preserving 3D Deformations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_banmo_18330,
  title = {{BANMo: Building Animatable 3D Neural Models From Many Casual Videos}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2020_deepdeform_15382,
  title = {{DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_lasr_17235,
  title = {{LASR: Learning Articulated Shape Reconstruction From a Monocular Video}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_articulation_15150,
  title = {{Articulation-Aware Canonical Surface Mapping}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_neural_17488,
  title = {{Neural Deformation Graphs for Globally-Consistent Non-Rigid Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_shelf_17891,
  title = {{Shelf-Supervised Mesh Prediction in the Wild}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2023_magicpony_21513,
  title = {{MagicPony: Learning Articulated 3D Animals in the Wild}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23226},
}

@inproceedings{cvpr2021_recurrent_17718,
  title = {{Recurrent Multi-View Alignment Network for Unsupervised Surface Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2018_scalable_13560,
  title = {{Scalable Dense Non-Rigid Structure-From-Motion: A Grassmannian Perspective}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Kumar_Scalable_Dense_Non-Rigid_CVPR_2018_paper.html},
}

@inproceedings{cvpr2016_consensus_11441,
  title = {{Consensus of Non-Rigid Reconstructions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2023_skinned_22218,
  title = {{Skinned Motion Retargeting With Residual Perception of Motion Semantics \& Geometry}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22702},
}

@inproceedings{cvpr2022_barc_18331,
  title = {{BARC: Learning To Regress 3D Dog Shape From Images by Exploiting Breed Information}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_cadex_18432,
  title = {{CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_learning_23979,
  title = {{Learning the 3D Fauna of the Web}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31841},
}

@inproceedings{cvpr2024_garment_23567,
  title = {{Garment Recovery with Shape and Deformation Priors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30280},
}

@inproceedings{cvpr2024_saor_24685,
  title = {{SAOR: Single-View Articulated Object Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29367},
}

@inproceedings{cvpr2025_gapt_26377,
  title = {{GaPT-DAR: Category-level Garments Pose Tracking via Integrated 2D Deformation and 3D Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34156},
}

@inproceedings{cvpr2024_non_24298,
  title = {{Non-Rigid Structure-from-Motion: Temporally-Smooth Procrustean Alignment and Spatially-Variant Deformation Modeling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31708},
}

@inproceedings{neurips2024_neural_71869,
  title = {{Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95433},
}

@inproceedings{neurips2024_reconstruction_72803,
  title = {{Reconstruction of Manipulated Garment with Guided Deformation Prior}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94594},
}

@inproceedings{iclr2025_real2code_81243,
  title = {{Real2Code: Reconstruct Articulated Objects via Code Generation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30528},
}

@inproceedings{icml2024_s3o_45752,
  title = {{S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32700},
}

@inproceedings{icml2026_kinematics_52043,
  title = {{Kinematics-Driven Gaussian Shape Deformation for Blurry Monocular Dynamic Scenes}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=SEBPRRnbUX},
}

@inproceedings{icml2026_geometry_53780,
  title = {{Geometry-Guided Modeling of Foundation Features Enables Generalizable Object Shape Deformation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=iae4cvYkfU},
}

@inproceedings{icml2026_adaptive_54938,
  title = {{Adaptive Volumetric Mechanical Property Fields Invariant to Resolution}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=u4uFwVwZGr},
}

@inproceedings{neurips2026_sam_89979,
  title = {{SAM 3D Animal: Promptable Animal 3D Reconstruction from Images in the Wild}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/155674},
}

@inproceedings{neurips2026_scalable_90616,
  title = {{Scalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/149509},
}

@inproceedings{cvpr2026_neurok_96262,
  title = {{NeuROK: Generative 4D Neural Object Kinematics}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Geng_NeuROK_Generative_4D_Neural_Object_Kinematics_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_art_97689,
  title = {{ART: Articulated Reconstruction Transformer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Li_ART_Articulated_Reconstruction_Transformer_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_mesh4d_97973,
  title = {{Mesh4D: 4D Mesh Reconstruction and Tracking from Monocular Video}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Jiang_Mesh4D_4D_Mesh_Reconstruction_and_Tracking_from_Monocular_Video_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_rino_98076,
  title = {{RINO: Rotation-Invariant Non-Rigid Correspondences}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Gao_RINO_Rotation-Invariant_Non-Rigid_Correspondences_CVPR_2026_paper.html},
}

@inproceedings{aaai2026_monocular_108858,
  title = {{Monocular Mesh Recovery and Body Measurement of Female Saanen Goats}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/41210},
}

@inproceedings{icml2026_se_50753,
  title = {{SE(n)-Invariant Flow Matching: A General Framework with Application to Object Reassembly}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=FN7KIzIQiA},
}