A library for processing and generating readable annotations for Human3.6M dataset.
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Updated
Aug 25, 2023 - Python
A library for processing and generating readable annotations for Human3.6M dataset.
Graph convolution networks API for 3D human pose estimation with human3.6M
An implementation of 3D human pose estimation based on 2D keypoints in images
This instruction will help you to pre-process the Human3.6M dataset
Advanced 3D Body Pose Analysis
Unofficial pytorch implementation of UGCN from "Jingbo Wang, Sijie Yan, Yuanjun Xiong, and Dahua Lin : Motion Guided 3D Pose Estimation from Videos."
The official project website of "3D Human Pose Lifting with Grid Convolution" (GridConv for short, oral in AAAI 2023)
Unofficial pytorch implementation of U-CondDGCN from "WenBo Hu, Changgong Zhang, Fangneng Zhan, Lei Zhang, Tien-Tsin Wong : Conditional Directed Graph Convolution for 3D Human Pose Estimation"
[CVPR 2022 Oral] Generalizable Human Pose Triangulation
3D HourGlass Networks for Human Pose Estimation Through Videos
[ECCV 2022] The official repo for the paper "Poseur: Direct Human Pose Regression with Transformers".
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