Image based 3D Reconstruction and Editing

：来煜坤（英国卡迪夫大学）
：2023-11-21 16:30
：海韵园数理大楼686会议室

报告人：来煜坤（英国卡迪夫大学）

时  间：2023年11月21日16:30

地  点：海韵园数理大楼686会议室

内容摘要:

3D representations of objects including their shapes and appearance are fundamental for many applications such as virtual and augmented reality. It allows the objects to be freely viewed from different perspectives. However,  obtaining high quality 3D representations can often be time-consuming and require substantial expertise, e.g., to use dedicated tools such as 3D scanners. In this talk, I will present our recent work that aims to reduce the effort needed for high-quality 3D reconstruction by using machine learning to exploit prior knowledge. We further develop learning based methods to facilitate editing of 3D representations, in particular neural radiance fields, to intuitively modify the geometry and/or appearance. I will discuss how specific techniques can help address challenges for different tasks, along with some directions for future research.

个人简介：

Yu-Kun Lai is currently a Professor in the School of Computer Science and Informatics, Cardiff University, UK. He received his bachelor's and PhD degrees from Tsinghua University, China in 2003 and 2008 respectively. His PhD thesis received National Excellent PhD Dissertation Award. His research interests include Computer Graphics, Computer Vision, Geometric Processing, etc. He has published over 200 papers in major journals and conferences in these areas, including over 100 papers in CCF-A venues. He is an associate editor of IEEE Transactions on Visualization and Computer Graphics and The Visual Computer. He was conference co-chair of Eurographics Symposium on Geometry Processing (SGP) 2014 and Computational Visual Media (CVM) 2016, program co-chair of Eurographics Workshop on 3D Object Retrieval (3DOR) 2021 and an associate editor of Computer Graphics Forum (2019-2022).

 

联系人：曹娟