3D Human Pose Estimation via Intuitive Physics
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[1] Michael J. Black,et al. Detecting Human-Object Contact in Images , 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Michael J. Black,et al. ECON: Explicit Clothed humans Optimized via Normal integration , 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Michael J. Black,et al. MIME: Human-Aware 3D Scene Generation , 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Gang Yu,et al. D&D: Learning Human Dynamics from Dynamic Camera , 2022, ECCV.
[5] Jianzhuang Liu,et al. CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation , 2022, ECCV.
[6] Michael J. Black,et al. Capturing and Inferring Dense Full-Body Human-Scene Contact , 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[7] M. Andriluka,et al. Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video , 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[8] M. Andriluka,et al. Differentiable Dynamics for Articulated 3d Human Motion Reconstruction , 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Michael J. Black,et al. ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation , 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Bharat Lal Bhatnagar,et al. CHORE: Contact, Human and Object REconstruction from a single RGB image , 2022, ECCV.
[11] Kris Kitani,et al. Occluded Human Mesh Recovery , 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Limin Wang,et al. Recovering 3D Human Mesh from Monocular Images: A Survey , 2022, ArXiv.
[13] Jianyi Wang,et al. SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos , 2021, ECCV.
[14] J. Kautz,et al. GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras , 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Michael J. Black,et al. SPEC: Seeing People in the Wild with an Estimated Camera , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[16] S. Fidler,et al. Physics-based Human Motion Estimation and Synthesis from Videos , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[17] Ruben Villegas,et al. Contact-Aware Retargeting of Skinned Motion , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[18] Marc Pollefeys,et al. Learning Motion Priors for 4D Human Body Capture in 3D Scenes , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[19] Takaaki Shiratori,et al. FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration , 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).
[20] Cristian Sminchisescu,et al. AIFit: Automatic 3D Human-Interpretable Feedback Models for Fitness Training , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[21] A. Torralba,et al. Intelligent Carpet: Inferring 3D Human Pose from Tactile Signals , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Todd Murphey,et al. Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[23] Dimitrios Tzionas,et al. Collaborative Regression of Expressive Bodies using Moderation , 2021, 2021 International Conference on 3D Vision (3DV).
[24] Leonidas J. Guibas,et al. HuMoR: 3D Human Motion Model for Robust Pose Estimation , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[25] Dongdong Yu,et al. Body Meshes as Points , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Christian Theobalt,et al. Neural monocular 3D human motion capture with physical awareness , 2021, ACM Trans. Graph..
[27] Joachim Tesch,et al. AGORA: Avatars in Geography Optimized for Regression Analysis , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Michael J. Black,et al. PARE: Part Attention Regressor for 3D Human Body Estimation , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[29] Michael J. Black,et al. On Self-Contact and Human Pose , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Kris Kitani,et al. SimPoE: Simulated Character Control for 3D Human Pose Estimation , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Bingbing Ni,et al. Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Zhenan Sun,et al. PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[33] Francesc Moreno-Noguer,et al. SMPLicit: Topology-aware Generative Model for Clothed People , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Joachim Tesch,et al. Populating 3D Scenes by Learning Human-Scene Interaction , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Kevin Lin,et al. End-to-End Human Pose and Mesh Reconstruction with Transformers , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Christian Theobalt,et al. Monocular Real-time Full Body Capture with Inter-part Correlations , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Serena Yeung,et al. Holistic 3D Human and Scene Mesh Estimation from Single View Images , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Cewu Lu,et al. HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[39] G. Sukhatme,et al. NeuralSim: Augmenting Differentiable Simulators with Neural Networks , 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).
[40] Michael J. Black,et al. Monocular, One-stage, Regression of Multiple 3D People , 2020, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[41] Andreas Aristidou,et al. MotioNet , 2020, ACM Trans. Graph..
[42] Andrea Vedaldi,et al. Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation , 2020, 2021 International Conference on 3D Vision (3DV).
[43] Yaser Sheikh,et al. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[44] Eduard Gabriel Bazavan,et al. REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision , 2021, NeurIPS.
[45] J. Hodgins,et al. MonoClothCap: Towards Temporally Coherent Clothing Capture from Monocular RGB Video , 2020, 2020 International Conference on 3D Vision (3DV).
[46] Christian Theobalt,et al. PhysCap , 2020, ACM Trans. Graph..
[47] Dimitrios Tzionas,et al. Monocular Expressive Body Regression through Body-Driven Attention , 2020, ECCV.
[48] Kyoung Mu Lee,et al. I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image , 2020, ECCV.
[49] Deva Ramanan,et al. Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild , 2020, ECCV.
[50] Leonidas J. Guibas,et al. Contact and Human Dynamics from Monocular Video , 2020, SCA.
[51] Cristian Sminchisescu,et al. GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Yangang Wang,et al. Object-Occluded Human Shape and Pose Estimation From a Single Color Image , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[53] Xiaowei Zhou,et al. Coherent Reconstruction of Multiple Humans From a Single Image , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[54] Wanli Ouyang,et al. 3D Human Mesh Regression With Dense Correspondence , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[55] Yuta Nakashima,et al. Yoga-82: A New Dataset for Fine-grained Classification of Human Poses , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[56] Greg Turk,et al. Bodies at Rest: 3D Human Pose and Shape Estimation From a Pressure Image Using Synthetic Data , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[57] Cristian Sminchisescu,et al. Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows , 2020, ECCV.
[58] A. Tyagi,et al. PoseNet3D: Learning Temporally Consistent 3D Human Pose via Knowledge Distillation , 2020, 2020 International Conference on 3D Vision (3DV).
[59] Jimei Yang,et al. Reducing Footskate in Human Motion Reconstruction with Ground Contact Constraints , 2020, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).
[60] Michael J. Black,et al. VIBE: Video Inference for Human Body Pose and Shape Estimation , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[61] V. Lepetit,et al. HOnnotate: A Method for 3D Annotation of Hand and Object Poses , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[62] Yanxi Liu,et al. From Image to Stability: Learning Dynamics from Human Pose , 2020, ECCV.
[63] Michael J. Black,et al. Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[64] Dimitrios Tzionas,et al. Resolving 3D Human Pose Ambiguities With 3D Scene Constraints , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[65] Liu Wu,et al. Human Mesh Recovery From Monocular Images via a Skeleton-Disentangled Representation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[66] Nasser Kehtarnavaz,et al. Deep Learning-based Human Pose Estimation: A Survey , 2020, ACM Comput. Surv..
[67] Fan Zhang,et al. MediaPipe: A Framework for Building Perception Pipelines , 2019, ArXiv.
[68] Iasonas Kokkinos,et al. HoloPose: Holistic 3D Human Reconstruction In-The-Wild , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[69] Kostas Daniilidis,et al. Convolutional Mesh Regression for Single-Image Human Shape Reconstruction , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[70] Dimitrios Tzionas,et al. Expressive Body Capture: 3D Hands, Face, and Body From a Single Image , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[71] Cordelia Schmid,et al. Learning Joint Reconstruction of Hands and Manipulated Objects , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[72] Meng Wang,et al. Graphonomy: Universal Human Parsing via Graph Transfer Learning , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[73] Nikolaus F. Troje,et al. AMASS: Archive of Motion Capture As Surface Shapes , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[74] Yi Zhou,et al. On the Continuity of Rotation Representations in Neural Networks , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[75] Jitendra Malik,et al. Learning 3D Human Dynamics From Video , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[76] Yaser Sheikh,et al. Monocular Total Capture: Posing Face, Body, and Hands in the Wild , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[77] Kris M. Kitani,et al. 3D Ego-Pose Estimation via Imitation Learning , 2018, ECCV.
[78] Bodo Rosenhahn,et al. Supplementary Material to: Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera , 2018 .
[79] Cristian Sminchisescu,et al. Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes: The Importance of Multiple Scene Constraints , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[80] Sergey Levine,et al. DeepMimic , 2018, ACM Trans. Graph..
[81] Iasonas Kokkinos,et al. DensePose: Dense Human Pose Estimation in the Wild , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[82] Yaser Sheikh,et al. Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[83] Jitendra Malik,et al. End-to-End Recovery of Human Shape and Pose , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[84] Hans-Peter Seidel,et al. VNect , 2017, ACM Trans. Graph..
[85] Pascal Fua,et al. Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision , 2016, 2017 International Conference on 3D Vision (3DV).
[86] Peter V. Gehler,et al. Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image , 2016, ECCV.
[87] Eric Lengyel. Volumetric Hierarchical Approximate Convex Decomposition , 2016 .
[88] Marc Pollefeys,et al. Capturing Hands in Action Using Discriminative Salient Points and Physics Simulation , 2015, International Journal of Computer Vision.
[89] Deva Ramanan,et al. Understanding Everyday Hands in Action from RGB-D Images , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[90] Michael J. Black,et al. SMPL: A Skinned Multi-Person Linear Model , 2023 .
[91] Michael J. Black,et al. Pose-conditioned joint angle limits for 3D human pose reconstruction , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[92] Cristian Sminchisescu,et al. Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[93] Bernt Schiele,et al. 2D Human Pose Estimation: New Benchmark and State of the Art Analysis , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[94] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[95] Mark Everingham,et al. Learning effective human pose estimation from inaccurate annotation , 2011, CVPR 2011.
[96] Heinrich H. Bülthoff,et al. Perceived Object Stability Depends on Multisensory Estimates of Gravity , 2011, PloS one.
[97] Mark Everingham,et al. Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation , 2010, BMVC.
[98] David J. Fleet,et al. Physics-Based Person Tracking Using the Anthropomorphic Walker , 2010, International Journal of Computer Vision.
[99] David J. Fleet,et al. Estimating contact dynamics , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[100] Odest Chadwicke Jenkins,et al. Physical simulation for probabilistic motion tracking , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[101] A. Hof. The 'extrapolated center of mass' concept suggests a simple control of balance in walking. , 2008, Human movement science.
[102] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[103] A. Hof. The equations of motion for a standing human reveal three mechanisms for balance. , 2007, Journal of biomechanics.
[104] David A. Forsyth,et al. Knowing when to put your foot down , 2006, I3D '06.
[105] Dragomir Anguelov,et al. SCAPE: shape completion and animation of people , 2005, ACM Trans. Graph..
[106] A L Hof,et al. The condition for dynamic stability. , 2005, Journal of biomechanics.
[107] Yi-Chung Pai,et al. Movement Termination and Stability in Standing , 2003, Exercise and sport sciences reviews.
[108] Tsuhan Chen,et al. Efficient feature extraction for 2D/3D objects in mesh representation , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).
[109] Masanobu Yamamoto,et al. Scene constraints-aided tracking of human body , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[110] Knud D. Andersen,et al. The Mosek Interior Point Optimizer for Linear Programming: An Implementation of the Homogeneous Algorithm , 2000 .
[111] David A. Winter,et al. Human balance and posture control during standing and walking , 1995 .
[112] D. Winter. A.B.C. (anatomy, biomechanics and control) of balance during standing and walking , 1995 .