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”.