3D point clouds are widely used in immersive telepresence, cultural heritage reconstruction, geophysical information systems, autonomous driving, and virtual/augmented reality. Despite rapid development in 3D sensing technology, acquiring 3D point cloud data with high spatial and temporal resolution and complex geometry/topology is still time-consuming, challenging, or costly. This talk will present our recent studies on computational methods (i.e., deep learning)-based 3D point cloud reconstruction, including sparse 3D point cloud upsampling, temporal interpolation of dynamic 3D point cloud sequences, and adversarial 3D point cloud generation.
Junhui Hou
单目3D人体姿态估计（aka. 3D HPE）在视频动作分析、计算机图形学(CG)等领域有广泛的应用场景，同时，由于无需复杂的人体动捕设备，使单目3D HPE系统更加易于部署。5月10日晚七点，LiveVideoStack邀请到了来自北京影谱科技的人工智能高级工程师 宋波，主要分享从单目图片或视频中估计3D人体姿态的技术挑战，业界一些典型工作，以及公司在该领域的一些探索。
宋波
紧抓多媒体生态趋势，将浏览器、WebAssembly和Rust等热点结合；熟知播放器工作原理，为实现商业化H.264/H.265播放器打下坚实基础；课程包含图文、代码、视频，降低学习门槛； 李超精准讲解，及时详细解答
@2017-2024 LiveVideoStack版权所有. 京ICP备20010033号-1 
京公网安备 11010502042092号
