2 papers
cs.CV2022
Learning Semantic Abstraction of Shape via 3D Region of Interest
Haiyue Fang, Xiaogang Wang, Zheyuan Cai +4
In this paper, we focus on the two tasks of 3D shape abstraction and semantic analysis. This is in contrast to current methods, which focus solely on either 3D shape abstraction or…
cs.CV2021
Learning Fine-Grained Segmentation of 3D Shapes without Part Labels
Xiaogang Wang, Xun Sun, Xinyu Cao +2
Learning-based 3D shape segmentation is usually formulated as a semantic labeling problem, assuming that all parts of training shapes are annotated with a given set of tags. This a…