Collaborative Regression of Expressive Bodies using Moderation
暂无分享,去创建一个
Dimitrios Tzionas | Michael J. Black | Timo Bolkart | Vasileios Choutas | Yao Feng | Michael J. Black | Dimitrios Tzionas | Vasileios Choutas | Timo Bolkart | Yao Feng
[1] Takaaki Shiratori,et al. FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration , 2020, ArXiv.
[2] Lourdes Agapito,et al. Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Hsi-Jian Lee,et al. Determination of 3D human body postures from a single view , 1985, Comput. Vis. Graph. Image Process..
[4] Pavlo Molchanov,et al. Hand Pose Estimation via Latent 2.5D Heatmap Regression , 2018, ECCV.
[5] Zhenan Sun,et al. Learning 3D Human Shape and Pose From Dense Body Parts , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Ankur Agarwal,et al. Recovering 3D human pose from monocular images , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Yichen Wei,et al. Compositional Human Pose Regression , 2018, Comput. Vis. Image Underst..
[8] Jiaolong Yang,et al. Accurate 3D Face Reconstruction With Weakly-Supervised Learning: From Single Image to Image Set , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[9] 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).
[10] Davis E. King,et al. Dlib-ml: A Machine Learning Toolkit , 2009, J. Mach. Learn. Res..
[11] Pascal Fua,et al. What Face and Body Shapes Can Tell Us About Height , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).
[12] Tal Hassner,et al. Regressing Robust and Discriminative 3D Morphable Models with a Very Deep Neural Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Thomas Vetter,et al. Estimating Coloured 3D Face Models from Single Images: An Example Based Approach , 1998, ECCV.
[14] Iasonas Kokkinos,et al. Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Michael J. Black,et al. PARE: Part Attention Regressor for 3D Human Body Estimation , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[16] Christian Theobalt,et al. GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[17] Stefanos Zafeiriou,et al. Single Image 3D Hand Reconstruction with Mesh Convolutions , 2019, BMVC.
[18] Michael J. Black,et al. On Self-Contact and Human Pose , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Vincent Leroy,et al. DOPE: Distillation Of Part Experts for whole-body 3D pose estimation in the wild , 2020, ECCV.
[20] Stefanos Zafeiriou,et al. GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Yebin Liu,et al. Mask-Pose Cascaded CNN for 2D Hand Pose Estimation From Single Color Image , 2019, IEEE Transactions on Circuits and Systems for Video Technology.
[22] 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.
[23] Lijuan Wang,et al. End-to-End Human Pose and Mesh Reconstruction with Transformers , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Cordelia Schmid,et al. Moulding Humans: Non-Parametric 3D Human Shape Estimation From Single Images , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[25] Marc Pollefeys,et al. H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Dong Liu,et al. Deep High-Resolution Representation Learning for Human Pose Estimation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Natalia Gimelshein,et al. PyTorch: An Imperative Style, High-Performance Deep Learning Library , 2019, NeurIPS.
[28] 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).
[29] Vincent Lepetit,et al. HOnnotate: A Method for 3D Annotation of Hand and Object Poses , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Qiang Li,et al. End-to-End Hand Mesh Recovery From a Monocular RGB Image , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[31] Yinghao Huang,et al. Towards Accurate Marker-Less Human Shape and Pose Estimation over Time , 2017, 2017 International Conference on 3D Vision (3DV).
[32] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[33] Ruigang Yang,et al. FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Konrad Schindler,et al. Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations , 2020, AAAI.
[35] Dimitrios Tzionas,et al. Embodied Hands: Modeling and Capturing Hands and Bodies Together , 2022, ArXiv.
[36] Wan-Yen Lo,et al. Accelerating 3D deep learning with PyTorch3D , 2019, SIGGRAPH Asia 2020 Courses.
[37] Peter V. Gehler,et al. Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation , 2018, 2018 International Conference on 3D Vision (3DV).
[38] Kathleen M. Robinette,et al. Civilian American and European Surface Anthropometry Resource (CAESAR), Final Report. Volume 1. Summary , 2002 .
[39] Thomas Brox,et al. Learning to Estimate 3D Hand Pose from Single RGB Images , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[40] Michael J. Black,et al. Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[41] 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).
[42] Bodo Rosenhahn,et al. Supplementary Material to: Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera , 2018 .
[43] Michael J. Black,et al. OpenDR: An Approximate Differentiable Renderer , 2014, ECCV.
[44] Georgios Tzimiropoulos,et al. How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks) , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[45] 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).
[46] Philip H. S. Torr,et al. 3D Hand Shape and Pose From Images in the Wild , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Michael J. Black,et al. Detailed, Accurate, Human Shape Estimation from Clothed 3D Scan Sequences , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[48] Yaser Sheikh,et al. Hand Keypoint Detection in Single Images Using Multiview Bootstrapping , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[49] 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).
[50] William T. Freeman,et al. Unsupervised Training for 3D Morphable Model Regression , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[51] 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).
[52] Dimitrios Tzionas,et al. Monocular Expressive Body Regression through Body-Driven Attention , 2020, ECCV.
[53] Yichen Wei,et al. Integral Human Pose Regression , 2017, ECCV.
[54] Michael J. Black,et al. Estimating human shape and pose from a single image , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[55] Yaser Sheikh,et al. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[56] Peter V. Gehler,et al. Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image , 2016, ECCV.
[57] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[58] Jitendra Malik,et al. End-to-End Recovery of Human Shape and Pose , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[59] Tae-Kyun Kim,et al. Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[60] Feng Liu,et al. Towards High-Fidelity Nonlinear 3D Face Morphable Model , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[61] 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).
[62] Michael J. Black,et al. Learning to Dress 3D People in Generative Clothing , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[63] Mark Everingham,et al. Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation , 2010, BMVC.
[64] Wanli Ouyang,et al. 3D Human Mesh Regression With Dense Correspondence , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[65] Trevor Darrell,et al. Inferring 3D structure with a statistical image-based shape model , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[66] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[67] Joachim Tesch,et al. AGORA: Avatars in Geography Optimized for Regression Analysis , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[68] M. Pollefeys,et al. Unified Egocentric Recognition of 3 D Hand-Object Poses and Interactions , 2019 .
[69] James J. Little,et al. A Simple Yet Effective Baseline for 3d Human Pose Estimation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[70] Cordelia Schmid,et al. Learning Joint Reconstruction of Hands and Manipulated Objects , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[71] Michael J. Black,et al. Learning a model of facial shape and expression from 4D scans , 2017, ACM Trans. Graph..
[72] Tao Yu,et al. DeepHuman: 3D Human Reconstruction From a Single Image , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[73] Georgios Tzimiropoulos,et al. Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[74] Iasonas Kokkinos,et al. HoloPose: Holistic 3D Human Reconstruction In-The-Wild , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[75] Cordelia Schmid,et al. BodyNet: Volumetric Inference of 3D Human Body Shapes , 2018, ECCV.
[76] Jin Xu,et al. Whole-Body Human Pose Estimation in the Wild , 2020, ECCV.
[77] Luc Van Gool,et al. DEX: Deep EXpectation of Apparent Age from a Single Image , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).
[78] Xi Zhou,et al. Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network , 2018, ECCV.
[79] Oswald Aldrian,et al. Inverse Rendering of Faces with a 3D Morphable Model , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[80] Cheng Li,et al. Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[81] 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.
[82] Peter V. Gehler,et al. Unite the People: Closing the Loop Between 3D and 2D Human Representations , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[83] Jianzhu Guo,et al. Towards Fast, Accurate and Stable 3D Dense Face Alignment , 2020, ECCV.
[84] 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).
[85] 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).
[86] 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).
[87] Cristian Sminchisescu,et al. Learning Complex 3D Human Self-Contact , 2020, AAAI.
[88] Michael J. Black,et al. SMPL: A Skinned Multi-Person Linear Model , 2015, ACM Trans. Graph..
[89] Michael J. Black,et al. Predicting 3D People from 2D Pictures , 2006, AMDO.
[90] Michael J. Black,et al. Learning an animatable detailed 3D face model from in-the-wild images , 2020, ArXiv.
[91] Jianfei Cai,et al. 3D Hand Shape and Pose Estimation from a Single RGB Image (Supplementary Material) , 2019 .
[92] William A. P. Smith,et al. Fitting a 3D Morphable Model to Edges: A Comparison Between Hard and Soft Correspondences , 2016, ACCV Workshops.
[93] Jitendra Malik,et al. Learning 3D Human Dynamics From Video , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[94] 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).
[95] Cristian Sminchisescu,et al. Three-Dimensional Reconstruction of Human Interactions , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[96] Omkar M. Parkhi,et al. VGGFace2: A Dataset for Recognising Faces across Pose and Age , 2017, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).
[97] M. Zollhöfer,et al. Self-Supervised Multi-level Face Model Learning for Monocular Reconstruction at Over 250 Hz , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[98] Thomas Brox,et al. FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[99] Tal Hassner,et al. On Face Segmentation, Face Swapping, and Face Perception , 2017, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).
[100] Thabo Beeler,et al. 3D Morphable Face Models—Past, Present, and Future , 2020, ACM Trans. Graph..
[101] Michael J. Black,et al. Monocular, One-stage, Regression of Multiple 3D People , 2020, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[102] Patrick Pérez,et al. MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[103] Prediction of 3D Body Parts from Face Shape and Anthropometric Measurements , 2020, Journal of Image and Graphics.
[104] Yu Tian,et al. Semantic Graph Convolutional Networks for 3D Human Pose Regression , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[105] 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).
[106] Vincent Lepetit,et al. Structured Prediction of 3D Human Pose with Deep Neural Networks , 2016, BMVC.
[107] Xiaowei Zhou,et al. Learning to Estimate 3D Human Pose and Shape from a Single Color Image , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[108] Xiaochen Hu,et al. FACSIMILE: Fast and Accurate Scans From an Image in Less Than a Second , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[109] Antonio Torralba,et al. Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media , 2017, ICWSM.
[110] Xiaowei Zhou,et al. Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[111] 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).