Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations
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Konrad Schindler | Michael J. Black | Nadine Rueegg | Christoph Lassner | K. Schindler | Christoph Lassner | Nadine Rueegg
[1] Björn Ommer,et al. Unsupervised Part-Based Disentangling of Object Shape and Appearance , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Luc Van Gool,et al. Disentangled Person Image Generation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[3] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[4] Hakan Bilen,et al. Learning Human Pose from Unaligned Data through Image Translation , 2019 .
[5] Luc Van Gool,et al. Pose Guided Person Image Generation , 2017, NIPS.
[6] Xiaowei Zhou,et al. Ordinal Depth Supervision for 3D Human Pose Estimation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[7] 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).
[8] Michael J. Black,et al. SMPL: A Skinned Multi-Person Linear Model , 2015, ACM Trans. Graph..
[9] 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).
[10] 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.
[11] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[12] Cordelia Schmid,et al. BodyNet: Volumetric Inference of 3D Human Body Shapes , 2018, ECCV.
[13] Ankush Gupta,et al. Unsupervised Learning of Object Landmarks through Conditional Image Generation , 2018, NeurIPS.
[14] 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).
[15] Yichen Wei,et al. Compositional Human Pose Regression , 2018, Comput. Vis. Image Underst..
[16] Alexei A. Efros,et al. Toward Multimodal Image-to-Image Translation , 2017, NIPS.
[17] Philip Bachman,et al. Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data , 2018, ICML.
[18] 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.
[19] Cristian Sminchisescu,et al. Human Appearance Transfer , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[20] Yuri Odagiri,et al. Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations , 2018, ArXiv.
[21] Kathleen M. Robinette,et al. The CAESAR project: a 3-D surface anthropometry survey , 1999, Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062).
[22] Frédo Durand,et al. Synthesizing Images of Humans in Unseen Poses , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[23] 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).
[24] Michael J. Black,et al. 3D Menagerie: Modeling the 3D Shape and Pose of Animals , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Yu-Ding Lu,et al. DRIT++: Diverse Image-to-Image Translation via Disentangled Representations , 2020, International Journal of Computer Vision.
[26] Peter V. Gehler,et al. Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image , 2016, ECCV.
[27] Chen Sun,et al. Unsupervised Learning of Object Structure and Dynamics from Videos , 2019, NeurIPS.
[28] Sergio Escalera,et al. SMPLR: Deep SMPL reverse for 3D human pose and shape recovery , 2018, ArXiv.
[29] Ersin Yumer,et al. Self-supervised Learning of Motion Capture , 2017, NIPS.
[30] Cordelia Schmid,et al. Learning from Synthetic Humans , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Jan Kautz,et al. Multimodal Unsupervised Image-to-Image Translation , 2018, ECCV.
[32] Jitendra Malik,et al. End-to-End Recovery of Human Shape and Pose , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[33] Weiyu Zhang,et al. From Actemes to Action: A Strongly-Supervised Representation for Detailed Action Understanding , 2013, 2013 IEEE International Conference on Computer Vision.
[34] Lior Wolf,et al. NAM - Unsupervised Cross-Domain Image Mapping without Cycles or GANs , 2018, International Conference on Learning Representations.
[35] Peter V. Gehler,et al. A Generative Model of People in Clothing , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[36] Taesung Park,et al. CyCADA: Cycle-Consistent Adversarial Domain Adaptation , 2017, ICML.
[37] T. Kanade,et al. Reconstructing 3D Human Pose from 2D Image Landmarks , 2012, ECCV.
[38] Cristian Sminchisescu,et al. Deep Multitask Architecture for Integrated 2D and 3D Human Sensing , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Pascal Fua,et al. Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation , 2018, ECCV.
[40] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Neil Smith,et al. Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[42] Jitendra Malik,et al. Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[43] James J. Little,et al. A Simple Yet Effective Baseline for 3d Human Pose Estimation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[44] Björn Ommer,et al. A Variational U-Net for Conditional Appearance and Shape Generation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[45] Maneesh Kumar Singh,et al. DRIT++: Diverse Image-to-Image Translation via Disentangled Representations , 2019, International Journal of Computer Vision.