PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes
Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, Baoquan Chen
2020Year
69Top-tier citations
Abstract
The characterization of object perception provided by recognition-by-components (RBC) bears a close resemblance to some current views as to how speech is perceived.
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Cited by top-tier papers69
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- Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with TransformersZi-Xin Zou, Zhipeng Yu, Yuan-Chen Guo, Yangguang Li et al.CVPR 2024 · 119 citations
Builds on3
- PointFlow: 3D Point Cloud Generation With Continuous Normalizing FlowsGuandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu et al.ICCV 2019 · 794 citations
- Learning Part Generation and Assembly for Structure-Aware Shape SynthesisJun Li, Chengjie Niu, Kai XuAAAI 2020 · 85 citations
- Composite Shape Modeling via Latent Space FactorizationAnastasia Dubrovina, Fei Xia, Panos Achlioptas, Mira Shalah et al.ICCV 2019 · 66 citations
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