Granular3D: Delving into multi-granularity 3D scene graph prediction

• Main Authors: HUANG, Kaixiang, YANG, Jingru, WANG, Jin, HE, Shengfeng, WANG, Zhan, HE, Haiyan, ZHANG, Qifeng, LU, Guodong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: 3D point cloud; 3D semantic scene graph prediction; Gather point transformer; Multi-granularity; Graphics and Human Computer Interfaces; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8811; https://ink.library.smu.edu.sg/context/sis_research/article/9814/viewcontent/Granular3D_av.pdf
• Institution: Singapore Management University

This paper addresses the significant challenges in 3D Semantic Scene Graph (3DSSG) prediction, essential for understanding complex 3D environments. Traditional approaches, primarily using PointNet and Graph Convolutional Networks, struggle with effectively extracting multi-grained features from intr...