A lightweight graph transformer network for human mesh reconstruction from 2d human pose

C Zheng, M Mendieta, P Wang, A Lu… - Proceedings of the 30th …, 2022 - dl.acm.org
Existing deep learning-based human mesh reconstruction approaches have a tendency to
build larger networks to achieve higher accuracy. Computational complexity and model size …
被引用次数：25 相关文章

A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose

C Zheng, M Mendieta, P Wang, A Lu… - arXiv preprint arXiv …, 2021 - arxiv.org
Existing deep learning-based human mesh reconstruction approaches have a tendency to
build larger networks in order to achieve higher accuracy. Computational complexity and …

A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose

C Zheng, M Mendieta, P Wang, A Lu, C Chen - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Existing deep learning-based human mesh reconstruction approaches have a tendency to
build larger networks in order to achieve higher accuracy. Computational complexity and …

A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose

C Zheng, M Mendieta - ACM Multimedia (ACM MM), 2022 - par.nsf.gov
Existing deep learning-based human mesh reconstruction approaches have a tendency to
build larger networks to achieve higher accuracy. Computational complexity and model size …

A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose

C Zheng, M Mendieta, P Wang, A Lu, C Chen - 2022 - par.nsf.gov
Existing deep learning-based human mesh reconstruction approaches have a tendency to
build larger networks to achieve higher accuracy. Computational complexity and model size …