GAMES Webinar 2020 – 130期(几何处理专题) |Zhiqin Chen(Simon Fraser University, Canada),Peng Song(Singapore University of Technology and Design)

【GAMES Webinar 2020-130期】（几何处理专题）

报告嘉宾1：Zhiqin Chen, Simon Fraser University, Canada

报告时间：2020年3月12日 晚上8:00-8:45（北京时间）

报告题目：Learning Implicit Representations for Shape Generation and Analysis

报告摘要：

A key problem for generating shapes from neural networks is how to represent the shapes. Many representations (point clouds, voxels, deformable meshes, etc) have been adopted for generative models and achieved great success. However, generating shapes with high visual quality remains a challenge. In this talk, I will describe how implicit field representation can be incorporated with deep neural networks for shape generation and analysis. Furthermore, I will show our latest advancement — an interpretable version of the network, where we can extract explicit meshes from the parameters, in contrast to obtaining the iso-surfaces via marching cubes.

讲者简介：

Zhiqin Chen is a first-year Ph.D. student at Simon Fraser University, under the supervision of Prof. Hao (Richard) Zhang. His research interest is Computer Graphics with specialty in Geometric Modeling and Machine Learning. He received his Master’s degree from Simon Fraser University in 2019, and Bachelor’s degree from Shanghai Jiao Tong University in 2017.

讲者个人主页: http://www.sfu.ca/~zhiqinc/

报告嘉宾2：Peng Song, Singapore University of Technology and Design

报告时间：2020年3月12日 晚上8:45-9:30（北京时间）

报告题目：3D Interlocking Assemblies: Design and Applications

报告摘要：

3D assemblies refer to objects that combine multiple component parts into a structure with a specific form and/or functionality.Rather than relying on additional fasteners such as nails and screws to connect the parts, component parts can be interlocked into a steady assembly based on their own geometric arrangements. This talk revisits the notion of 3D interlocking, and explores the governing mechanics of general 3D interlocking assemblies. From this, constructive approaches are developed for computational design of various new interlocking assemblies such as puzzles, furniture, 3D printed objects, and architecture. These interlocking assemblies are ready for fabrication and their steadiness have been validated in our experiments.

讲者简介：

Peng Song is an Assistant Professor at the Pillar of Information Systems Technology and Design, Singapore University of Technology and Design (SUTD) since 2019. Prior to joining SUTD, Peng was a research scientist at EPFL, Switzerland, an associate researcher at University of Science and Technology of China, and a research fellow at Nanyang Technological University, Singapore. He received his PhD from Nanyang Technological University, Singapore in 2013, his master’s and bachelor’s degrees both from Harbin Institute of Technology, China in 2010 and 2007 respectively. His research interests lie in computer graphics, with a focus on the modeling, processing, design and fabrication of digital 3D geometry.

讲者个人主页: https://sutd-cgl.github.io/

主持人简介：

吕琳，山东大学计算机科学与技术学院教授，博士生导师，山东大学齐鲁青年学者。2002和2005年分别获山东大学计算机软件与理论专业学士和硕士学位，2011年获得香港大学计算机科学系博士学位，同年加入山东大学计算机学院。研究方向为计算机图形学、数字几何处理等，近年来主要围绕数字制造中的几何计算开展研究。个人主页：http://irc.cs.sdu.edu.cn/~lulin

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