报告题目 | Neural Rendering and Reconstruction under LOS and NLOS Imaging |
报告人 | 虞晶怡 教授 |
报告人单位 | 上海科技大学 |
报告时间 | 2021-11-26 (周五) 11:00 |
报告地点 | 上海研究院4号楼329报告厅(合肥物质楼B1502同步视频) |
主办单位 | 中国科学院量子信息与量子科技创新研究院 |
报告介绍 | 报告摘要:Recent advances on deep learning, in particular, neural modeling and rendering, have renewed interests on developing effective 3D imaging solutions. Such techniques aim to overcome the limitations of traditional 3D reconstruction techniques such as structure-from-motion (SfM) and photometric stereo (PS) by reducing reconstruction noise, tackling texture-less regions, and synthesizing high quality free-view rendering. In this talk, I present recent efforts from my group at ShanghaiTech in collaboration with DGene on neural modeling techniques. Specifically, I demonstrate our latest neural human body reconstructor, deep 3D face synthesizer, anatomically correct 3D hand tracker, and ultra-realistic hair modeler. These solutions can produce dynamic virtual humans at an unprecedented visual quality as well as lead to profound changes to MetaVerse creation technologies. Finally I discuss extensions of these LOS oriented techniques to NLOS imaging systems. |