papers
Publications (4)
cs.RO2018
The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation
Kaichun Mo, Haoxiang Li, Zhe Lin +1
cs.CV2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Charles R. Qi, Hao Su, Kaichun Mo +1
cs.GR2019
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
Kaichun Mo, Paul Guerrero, Li Yi +4
The paper presents StructureNet, a hierarchical graph neural network that encodes and generates 3D shapes as n-ary part graphs, enabling diverse, realistic shape creation, editing,…
#hierarchical graph networks#3d shape generation#part-based modeling#graph neural networks
cs.CV2018
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding
Kaichun Mo, Shilin Zhu, Angel X. Chang +4