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Joachim Tesch | Michael J. Black | Otmar Hilliges | Muhammed Kocabas | Chun-Hao P. Huang | Lea Muller
[1] Philippe Weinzaepfel,et al. SMPLy Benchmarking 3D Human Pose Estimation in the Wild , 2020, 2020 International Conference on 3D Vision (3DV).
[2] Chenglei Wu,et al. MonoClothCap: Towards Temporally Coherent Clothing Capture from Monocular RGB Video , 2020, 2020 International Conference on 3D Vision (3DV).
[3] Hao Li,et al. PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[4] 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).
[5] Stefan Carlsson,et al. Uncalibrated Motion Capture Exploiting Articulated Structure Constraints , 2004, International Journal of Computer Vision.
[6] Pascal Fua,et al. PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers , 2020, ArXiv.
[7] Hans-Peter Seidel,et al. Motion capture using joint skeleton tracking and surface estimation , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Wenjun Zeng,et al. VoxelPose: Towards Multi-camera 3D Human Pose Estimation in Wild Environment , 2020, ECCV.
[9] Mark Everingham,et al. Learning effective human pose estimation from inaccurate annotation , 2011, CVPR 2011.
[10] Charless C. Fowlkes,et al. Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D Human Pose Estimation , 2020, ECCV Workshops.
[11] Iasonas Kokkinos,et al. HoloPose: Holistic 3D Human Reconstruction In-The-Wild , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[13] Michael J. Black,et al. VIBE: Video Inference for Human Body Pose and Shape Estimation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[14] 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).
[15] 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).
[16] Jie Song,et al. Human Body Model Fitting by Learned Gradient Descent , 2020, ECCV.
[17] Cristian Sminchisescu,et al. Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows , 2020, ECCV.
[18] Song-Chun Zhu,et al. DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[19] Michael J. Black,et al. PARE: Part Attention Regressor for 3D Human Body Estimation , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[20] Scott Workman,et al. Horizon Lines in the Wild , 2016, BMVC.
[21] Jitendra Malik,et al. End-to-End Recovery of Human Shape and Pose , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[22] 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.
[23] Michael J. Black,et al. On Self-Contact and Human Pose , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[24] David F. Fouhey,et al. Full-Body Awareness from Partial Observations , 2020, ECCV.
[25] 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.
[26] James M. Rehg,et al. 4D Human Body Capture from Egocentric Video via 3D Scene Grounding , 2020, 2021 International Conference on 3D Vision (3DV).
[27] Cordelia Schmid,et al. Learning from Synthetic Humans , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Jitendra Malik,et al. Learning 3D Human Dynamics From Video , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Wojciech Matusik,et al. Articulated mesh animation from multi-view silhouettes , 2008, ACM Trans. Graph..
[30] 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).
[31] David Picard,et al. Human Pose Regression by Combining Indirect Part Detection and Contextual Information , 2017, Comput. Graph..
[32] Pascal Fua,et al. Learning Monocular 3D Human Pose Estimation from Multi-view Images , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[33] Yichen Wei,et al. Integral Human Pose Regression , 2017, ECCV.
[34] 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).
[35] Christian Theobalt,et al. Single-Shot Multi-person 3D Pose Estimation from Monocular RGB , 2017, 2018 International Conference on 3D Vision (3DV).
[36] 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.
[37] Peter V. Gehler,et al. Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image , 2016, ECCV.
[38] Hujun Bao,et al. Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[39] C.-C. Jay Kuo,et al. Multi-View Matching (MVM): Facilitating Multi-Person 3D Pose Estimation Learning with Action-Frozen People Video , 2020, ArXiv.
[40] Stuart Geman,et al. Statistical methods for tomographic image reconstruction , 1987 .
[41] Tao Yu,et al. 4D Association Graph for Realtime Multi-Person Motion Capture Using Multiple Video Cameras , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[42] 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).
[43] Hanbyul Joo,et al. PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Hans-Peter Seidel,et al. Markerless Motion Capture with unsynchronized moving cameras , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[45] Stefan Carlsson,et al. 3D Pictorial Structures for Multiple View Articulated Pose Estimation , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[46] 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).
[47] Michael J. Black,et al. HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion , 2010, International Journal of Computer Vision.
[48] Bodo Rosenhahn,et al. Supplementary Material to: Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera , 2018 .
[49] Jonathan Tompson,et al. Efficient ConvNet-based marker-less motion capture in general scenes with a low number of cameras , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[50] Dimitrios Tzionas,et al. Monocular Expressive Body Regression through Body-Driven Attention , 2020, ECCV.
[51] Andrew Zisserman,et al. Exploiting Temporal Context for 3D Human Pose Estimation in the Wild , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Hujun Bao,et al. Motion Capture from Internet Videos , 2020, ECCV.
[53] Lior Fritz,et al. Beyond Weak Perspective for Monocular 3D Human Pose Estimation , 2020, ECCV Workshops.
[54] Nassir Navab,et al. 3D Pictorial Structures for Multiple Human Pose Estimation , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[55] Yu Sun,et al. CenterHMR: a Bottom-up Single-shot Method for Multi-person 3D Mesh Recovery from a Single Image , 2020, ArXiv.
[56] Victor Lempitsky,et al. Learnable Triangulation of Human Pose , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[57] William T. Freeman,et al. Learning the Depths of Moving People by Watching Frozen People , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[58] Michael J. Black,et al. Combined discriminative and generative articulated pose and non-rigid shape estimation , 2007, NIPS.
[59] Wenjun Zeng,et al. Cross View Fusion for 3D Human Pose Estimation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[60] Xiaowei Zhou,et al. Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[61] Wanli Ouyang,et al. 3D Human Mesh Regression With Dense Correspondence , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[62] Trevor Darrell,et al. Inferring 3D structure with a statistical image-based shape model , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[63] Roberto Cipolla,et al. PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[64] Joachim Tesch,et al. AGORA: Avatars in Geography Optimized for Regression Analysis , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[65] Michael J. Black,et al. Detailed Human Shape and Pose from Images , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[66] Pavlo Molchanov,et al. Weakly-Supervised 3D Human Pose Learning via Multi-View Images in the Wild , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[67] 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.
[68] Pascal Fua,et al. Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision , 2016, 2017 International Conference on 3D Vision (3DV).
[69] Krista A. Ehinger,et al. Recognizing scene viewpoint using panoramic place representation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[70] Nassir Navab,et al. Tracking-by-Detection of 3D Human Shapes: From Surfaces to Volumes , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[71] Katerina Fragkiadaki,et al. Epipolar Transformers , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[72] Takaaki Shiratori,et al. FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration , 2020, ArXiv.
[74] Christian Theobalt,et al. DeepCap: Monocular Human Performance Capture Using Weak Supervision , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[75] Emre Akbas,et al. Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[76] Yannick Hold-Geoffroy,et al. A Perceptual Measure for Deep Single Image Camera Calibration , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.