3D human motion prediction, predicting future poses from a given sequence, is an issue of great significance and challenge in computer vision and machine intelligence, which can help machines in understanding human behaviors. Due to the increasing development and understanding of Deep Neural Networks ...
I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image. In ECCV, 2020. Learning 3D Human Shape and Pose from Dense Body Parts. In TPAMI, 2020. ExPose: Monocular Expressive Body Regression through Body-Driven Attention. In ECCV, ...
Q. C. Xin Wang and W. Wang, "3d human motion editing and synthesis: A survey," Computational and Mathematical Methods in Medicine, vol. 2014, p. 11, 2014.Wang, X., Chen, Q., and Wang, W. 2014. 3D Human Motion Editing and Synthesis: A Survey. Computational and Mathematical Methods...
今天想介绍的是ZJU带来的3DGS的首篇综述A Survey on 3D Gaussian Splatting这是论文链接arXiv:2401.03890,结合一些资料,趁这个机会好好学习一下3DGS,加油入坑!!! 首先说一些自己的理解,3DGS之所以爆火,很大程度在于他的实时性,而这一部分极大程度得益于他定制的算法与自定义CUDA内核。除此之外,Gaussian Splatting...
* [推荐]题目: Multimodal Trajectory Prediction: A Survey* PDF: arxiv.org/abs/2302.1046* 作者: Renhao Huang,Hao Xue,Maurice Pagnucco,Flora Salim,Yang Song* 题目: Graph-Transporter: A Graph-based Learning Method for Goal-Conditioned Deformable Object Rearranging Task* PDF: arxiv.org/abs/...
Human motion prediction aims to predict the target poses given the previous poses. Most existing methods are devoted to extracting richer motion features f... H Xing,Y Zhou,JXY Yang - 《Journal of Visual Communication & Image Representation》 被引量: 0发表: 2023年 Survey on 3D Human Pose Es...
3D Human Pose Estimation(以下简称 3D HPE )的目标是在三维空间中估计人体关键点的位置。3D HPE 的应用非常广泛,包括人机交互、运动分析、康复训练等,它也可以为其他计算机视觉任务(例如行为识别)提供 skeleton 等方面的信息。关于人体的表示一般有两种方式:第一种以骨架的形式表示人体姿态,由一系列的人体关键点和关...
The International 3D Society announced today a survey they commissioned concluded virtually 6 of 10 adults (59%) have yet to see a contemporary 3D movie (past three years) -- an untapped and huge opportunity for consumer discovery. Of those who have seen a 3D movie, three-fourths (74%) ...
used is not necessarily the best. We show that an easy-to-create polygon can noticeably improve the detection results in this application scenario. By using these augmentation methods, it is even possible to achieve moderate detection results when only empty frames without any objects and a ...
MMPose 现已支持 Human3.6M 和 MPI-INF-3DHP 这两个常用的 3D HPE benchmark,我们也提供了数据预处理脚本,帮助用户快速得到训练所需的数据。 2.1 Human3.6M Human3.6M 是目前 3D HPE 任务最为常用的数据集之一,包含了360万帧图像和对应的 2D/3D人体姿态。该数据集在实验室环境下采集,通过4个高清相机同步记...