GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models-Reference-Cited by-同舟云学术

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GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models

Published:2020-06 Issue: Volume: Page:
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Container-title:2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Xu Hongyi,Bazavan Eduard Gabriel,Zanfir Andrei,Freeman William T.,Sukthankar Rahul,Sminchisescu Cristian

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9142308/9156271/09157563.pdf?arnumber=9157563

Cited by 210 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Person Pose Regression With Distribution-Aware Single-Stage Models;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-08

2. 3-D Clothed Human Model Reconstruction Based on Single-View In-the-Wild Image Data;IEEE Sensors Journal;2024-08-01

3. Towards Unstructured Unlabeled Optical Mocap: A Video Helps!;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

4. Landmark Localization From Medical Images With Generative Distribution Prior;IEEE Transactions on Medical Imaging;2024-07

5. Part-aware Surface Slice and Polarization Implicit Function with Regular Discretization for 3D Human Surface Reconstruction;2024 IEEE International Conference on Real-time Computing and Robotics (RCAR);2024-06-24

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