This work highlights a semantics misalignment in 3D human pose estimation. For the task of test-time adaptation, the misalignment manifests as overly smoothed and unguided predictions. The smoothing settles predictions towards some average pose. Furthermore, when there are occlusions or truncations, ...
Code AddRemoveMark official No code implementations yet. Submityour code now Pose Estimation Datasets StanfordExtra Results from the Paper AddRemove Submitresults from this paperto get state-of-the-art GitHub badges and help the community compare results to other papers....
Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019 real-timepytorchdepth-imagepose-estimationhand-pose-estimation3d-pose-estimationa2jiccv2019hands2017hands2019 UpdatedSep 29, 2022 ...
VERSION 2.2: Multi-animal pose estimation, identification, and tracking with DeepLabCut is supported (as well as single-animal projects). VERSION 2.0-2.1: This is thePython packageofDeepLabCutthat was originally released in Oct 2018 with ourNature Protocolspaper (preprinthere). This package includes...
animal segmentation, identification and pose estimation. Furthermore, the behaviour atlas of a single animal could be combined with a SBeA of multiple animals. An algorithmic bridge from BeA to SBeA could facilitate not only social behaviour analysis, but also other forms of analysis within the ...
The desire to understand how the brain generates and patterns behavior has driven rapid methodological innovation in tools to quantify natural animal behavior. While advances in deep learning and computer vision have enabled markerless pose estimation in
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud 时间:CVPR2024 机构:ETH & CMU & Sungkyunkwan University TL;DR 将手部分3D点预测任务建模为点云生成任务,提出Handiff算法,以手部图像点云为条件输入,通过迭代降噪的方式预测精确的手部姿态,效果在四个benchmark上都达到SOTA。
3.1 Virtual Multi-View Hand Pose Estimation 多视角手势估计网络 virtual views 上图中左侧第一个示意图表示的是在不同视角下拍摄手势,其中最中间的是真实的相机,散布在它周围共5×5个视角,其中1个real,24个virtual。首先将真实视角下的Depth图渲染成点云,即基于真实相机坐标系的三维点坐标,然后通过坐标转换将其...
作者改进依据Detet-and-track: Efficient pose estimation in videos,有两个不同:1使用两种不同的Human boxes,一种是人体目标检测,一种是由上一帧使用光流optical flow生成的box。2使用了不同的贪婪匹配算法的相似度衡量方法。作者使用基于流的姿态相似性测量。 使用光流进行关节传播 由于直接将目标检测的结构用来检...
We further enforce estimated 3D poses to be consistent from different views using multi-view re-projection, which essentially addresses the wrong depth estimation and tackles possible errors in triangulation. Note that even though this re-projection loss is equivalent to the triangulation objective, it...