Rongxing Ding

Learning Gaussian Mixture-distributed Prototypes for 3D Scene Graph Generation from RGB-D Sequences

3D Scene Graph Generation (3DSGG) aims to create a structured representation of 3D environment by identifying objects as nodes and their relations as edges. Existing 3DSGG methods based on RGB-D sequences typically put much focus on the adaption of neural networks to robust node and edge feature ext…