报告题目： Recent Advance on Neural Radiance Fields
主讲人： Jianfei Cai a Professor at Faculty of IT, Monash University
报告时间：19:00-20:00 on Tuesday Jan.03, 2023
报告地点：Tencent Meeting：806 917 767
报告摘要：
Neural Radiance Fields (NeRF) has been a new paradigm for 3D representation, providing implicit shape information and view-dependent appearance simultaneously. Based on this new representation, seminal 3D generation approaches have been proposed that aim to generate photorealistic images from a given distribution in a 3D-aware and view-consistent manner, while their performance in 3D geometry reconstruction is limited. On the other hand, several works demonstrate that rendering neural implicit surfaces, where gradients are concentrated around surface regions, is able to produce a high-quality 3D reconstruction. However, they focus only on holistic scene representation yet ignore individual objects inside it, thus limiting potential downstream applications. In this talk, we will first present our recent ECCV’22 work, ObjectSDF, which provides a nice object-compositional neural implicit surfaces framework that can jointly reconstruct the scene and objects inside it with only semantic masks. We will also introduce our another ECCV’22 work that can reconstruct a 3D scene modelled by NeRF, conditioned on one single-view semantic mask as input. Finally, we will provide some future directions on this topic.
报告人简介：
Jianfei Cai is a Professor at Faculty of IT, Monash University, where he currently serves as the Head for the Data Science & AI Department. He is also a visiting professor at Nanyang Technological University (NTU). Before that, he was Head of Visual and Interactive Computing Division and Head of Computer Communications Division in NTU. His major research interests include computer vision, deep learning and multimedia. He has successfully trained 30+ PhD students with three getting NTU SCSE Outstanding PhD thesis award. Many of his PhD students joined leading IT companies such as Facebook, Apple, Amazon, and Adobe or become faculty members in reputable universities. He is a co-recipient of paper awards in ACCV, ICCM, IEEE ICIP and MMSP. He serves or has served as an Associate Editor for IJCV, IEEE T-IP, T-MM, and T-CSVT as well as serving as Area Chair for CVPR, ICCV, ECCV, IJCAI, ACM Multimedia, ICME and ICIP. He was the Chair of IEEE CAS VSPC-TC during 2016-2018. He had also served as the leading TPC Chair for IEEE ICME 2012 and the best paper award committee chair & co-chair for IEEE T-MM 2020 & 2019. He will be the leading general chair for ACM Multimedia 2024. He is a Fellow of IEEE.
邀请人：人工智能系 纪荣嵘教授