第一篇:《Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild》野外精确三维人体姿态和形状估计的综合训练;方法暂时没太看懂;但他为了测试极端身材的效果,还自己造了一个数据集。 第二篇:《Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from ...
3D Human Pose Estimation (3D-HPE) is one of the most active and dynamic fields in computer vision aiming to predict 3D coordinates of articulated human joints from images or video frames (Zhang et al. 2023a; Shuai et al. 2023; Zhang et al. 2023b). When a 3D scene with a person is...
Second, we model human motion with a forecasting module that allows the transition between adjacent frames to be smooth. We evaluate our method on the 3DPW, MPI-INF-3DHP, and Human3.6M datasets. Extensive experimental results show that our algorithm performs favorably against the state-of-the-...
Arthur151/SOTA-on-monocular-3D-pose-and-shape-estimationgithub.com/Arthur151/SOTA-on-monocular-3D-pose-and-shape-estimation 二、整体介绍 ##MHPE应用场景 Monocular human pose estimation (MHPE),单目人体姿态估计的目的是从单目图像或视频中预测人体的姿势信息,如身体关节的空间位置和/或体型参数。MHPE被...
A comprehensive series of experiments has revealed that MSIGCN outperforms existing state-of-the-art methods by 1.95%, 1.70% and 2.44% in terms of 3D average joint position error on the Human3.6M, CMU Mocap and 3DPW datasets, respectively. The relevant code can be accessed at https://...
3D human body 3d human face 3d human head 3D human hand 3d cloth 3d hair 3d teeth 3d eyelids related papers human mattting pose estimation registration correspondence application texture skin talking head uncategorized parametric model body face head hand method dataset face hand body method oth...
information present in multi-image input groups improves 3D human shape estimation metrics compared to single-image inputs on the SSP-3D dataset and a private dataset of tape-measured humans. In addition, predicting distributions over 3D bodies allows us to quantify pose prediction uncertainty, ...
Paper tables with annotated results for Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
**3D Human Pose Estimation** is a computer vision task that involves estimating the 3D positions and orientations of body joints and bones from 2D images or videos. The goal is to reconstruct the 3D pose of a person in real-time, which can be used in a v
Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data Healthcare-Robotics/bodies-at-rest • • CVPR 2020 We describe a physics-based method that simulates human bodies at rest in a bed with a pressure sensing mat, and present PressurePose, a ...