报告题目：Feedforward 3D Generation from Sparse Views
主 讲 人：Jianfei Cai，Professor at Faculty of IT, Monash University，IEEE Fellow
报告时间：2024年12月26日（星期四）10:30-11:30
报告地点：信息学院正信楼108会议室
报告摘要：
In recent years, the 3D vision community has witnessed a significant shift towards Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) as primary focal points. These innovations have fundamentally transformed how we represent 3D space and learn these representations through deep learning techniques with 2D image supervision. Existing research in NeRF and 3DGS can be broadly categorized into per-scene and generalizable solutions. Per-scene approaches concentrate on optimizing 3D representations using numerous multi-view images, while generalizable solutions aim to learn from datasets containing diverse scenes, enabling models to generalize to new scenes with sparse views without necessitating retraining. This talk will present a series of advancements from our research group on generalizable 3D view synthesis, such as MatchNeRF, MVSplat, and MVSplat360 for improving generalizability in diverse scenarios.
报告人简介：
Jianfei Cai is a Professor at Faculty of IT, Monash University, where he had served as the inaugural Head for the Data Science & AI Department. Before that, he was Head of Visual and Interactive Computing Division and Head of Computer Communications Division in Nanyang Technological University (NTU). His major research interests include computer vision, deep learning and multimedia. He has successfully trained 40+ PhD students with three getting NTU SCSE Outstanding PhD thesis award and one getting Monash FIT Graduate Research Student Excellence Award. Many of his PhD students joined leading IT companies such as Meta, Apple, Amazon, Adobe and TikTok or become faculty members in reputable universities. He is a co-recipient of paper awards in ACCV, ICCM, IEEE ICIP and MMSP, and a winner of Monash FIT’s Dean's Researcher of the Year Award. He serves or has served as an Associate Editor for TPAMI, IJCV, IEEE T-IP, T-MM, and T-CSVT as well as serving as Area Chair for CVPR, ICCV, ECCV, IJCAI, ACM Multimedia, ICME, ICIP and ISCAS. He was the Chair of IEEE CAS VSPC-TC during 2016-2018. He had served as the leading TPC Chair for IEEE ICME 2012, the best paper award committee chair & co-chair for IEEE T-MM 2020 & 2019, and the leading General Chair for ACM Multimedia 2024. He is a Fellow of IEEE.
邀请人：人工智能系 王菡子教授、纪荣嵘教授
