12 citations · 12 across the 1 of their papers we have counts for
2 papers
cs.CV2020
Multi-Resolution Graph Neural Network for Large-Scale Pointcloud Segmentation
Liuyue Xie, Tomotake Furuhata, Kenji Shimada
In this paper, we propose a multi-resolution deep-learning architecture to semantically segment dense large-scale pointclouds. Dense pointcloud data require a computationally expen…
cs.LG2019★ 12 cited
3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders
Wentai Zhang, Zhangsihao Yang, Haoliang Jiang +5
We propose a data-driven 3D shape design method that can learn a generative model from a corpus of existing designs, and use this model to produce a wide range of new designs. The…