Search Results for author: Fenggen Yu

Found 6 papers, 1 papers with code

CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly

no code implementations12 Apr 2021 Fenggen Yu, Zhiqin Chen, Manyi Li, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang

We introduce CAPRI-Net, a neural network for learning compact and interpretable implicit representations of 3D computer-aided design (CAD) models, in the form of adaptive primitive assemblies.

PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation

no code implementations CVPR 2019 Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu

Meanwhile, to increase the segmentation accuracy at each node, we enhance the recursive contextual feature with the shape feature extracted for the corresponding part.

3D Instance Segmentation 3D Part Segmentation

Semi-Supervised Co-Analysis of 3D Shape Styles from Projected Lines

no code implementations18 Apr 2018 Fenggen Yu, Yan Zhang, Kai Xu, Ali Mahdavi-Amiri, Hao Zhang

We present a semi-supervised co-analysis method for learning 3D shape styles from projected feature lines, achieving style patch localization with only weak supervision.

3D Shape Segmentation via Shape Fully Convolutional Networks

no code implementations28 Feb 2017 Pengyu Wang, Yuan Gan, Panpan Shui, Fenggen Yu, Yan Zhang, Songle Chen, Zhengxing Sun

3D shapes are represented as graph structures in the SFCN architecture, based on novel graph convolution and pooling operations, which are similar to convolution and pooling operations used on images.

Semantic Segmentation

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