human-pose-estimation

#计算机科学#OpenPose：实时多人关键点检测库、人体姿态识别框架

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

翻译 - 实时准确的多人姿势估计与跟踪系统

#计算机科学#Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

翻译 - 使用Tensorflow和自定义架构实现深度姿势估计，以进行快速推理。

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

翻译 - 该项目是ECCV2018论文“用于人体姿态估计和跟踪的简单基准（https://arxiv.org/abs/1804.06208）”的正式实施。

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

翻译 - CVPR2020文件“ VIBE：用于人体姿势和形状估计的视频推理”的正式实施

[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals

Real-time pose estimation accelerated with NVIDIA TensorRT

翻译 - NVIDIA TensorRT加快了实时姿势估计

#计算机科学#KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.

翻译 - KAPAO 是一种高效的多人人体姿势估计模型，可将关键点和姿势检测为对象，并融合检测结果来预测人体姿势。

[CVPR 2022 Oral] Official PyTorch Implementation of "GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras”.