Video Inference for Human Mesh Recovery with Vision Transformer
Author:
Affiliation:
1. School of Electrical Engineering, KAIST,South Korea
2. Kim Jaechul Graduate School of AI, KAIST,South Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10042469/10042499/10042731.pdf?arnumber=10042731
Reference41 articles.
1. End-to-End Recovery of Human Shape and Pose
2. Bodynet: Volumetric inference of 3d human body shapes;varol;Proceedings of the European Conference on Computer Vision (ECCV),2018
3. Coherent Reconstruction of Multiple Humans From a Single Image
4. Self-supervised learning of motion capture;tung;Advances in Neural IInformation Processing Systems,2017
5. Adam: A method for stochastic optimization;kingma;International Conference on Learning Representations (ICLR),2015
Cited by 2 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. Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02
2. Implicit 3D Human Mesh Recovery using Consistency with Pose and Shape from Unseen-view;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06
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