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SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 7, 页码: 8902-8919
作者:  Gao, Lin;  Sun, Jia-Mu;  Mo, Kaichun;  Lai, Yu-Kun;  Guibas, Leonidas J.;  Yang, Jie
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
3Dindoor scene synthesis  deep generative model  fine-grained mesh generation  graph neural network  recursive neural network  relationship graphs  variational autoencoder  
Multiscale Mesh Deformation Component Analysis With Attention-Based Autoencoders 期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2023, 卷号: 29, 期号: 2, 页码: 1301-1317
作者:  Yang, Jie;  Gao, Lin;  Tan, Qingyang;  Huang, Yi-Hua;  Xia, Shihong;  Lai, Yu-Kun
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
Multi-scale  shape analysis  attention mechanism  sparse regularization  stacked auto-encoder  
Learning on 3D Meshes With Laplacian Encoding and Pooling 期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2022, 卷号: 28, 期号: 2, 页码: 1317-1327
作者:  Qiao, Yi-Ling;  Gao, Lin;  Yang, Jie;  Rosin, Paul L.;  Lai, Yu-Kun;  Chen, Xilin
收藏  |  浏览/下载：22/0  |  提交时间：2022/12/07
Three-dimensional displays  Laplace equations  Shape  Correlation  Machine learning  Topology  Computational modeling  Mesh processing  segmentation  laplacian  deep learning  
SDM-NET: Deep Generative Network for Structured Deformable Mesh 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2019, 卷号: 38, 期号: 6, 页码: 15
作者:  Gao, Lin;  Yang, Jie;  Wu, Tong;  Yuan, Yu-Jie;  Fu, Hongbo;  Lai, Yu-Kun;  Zhang, Hao
收藏  |  浏览/下载：48/0  |  提交时间：2020/12/10
Shape representation  variational autoencoder  structure  geometric details  generation