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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  
Sparse Data Driven Mesh Deformation 期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2021, 卷号: 27, 期号: 3, 页码: 2085-2100
作者:  Gao, Lin;  Lai, Yu-Kun;  Yang, Jie;  Zhang, Ling-Xiao;  Xia, Shihong;  Kobbelt, Leif
收藏  |  浏览/下载：36/0  |  提交时间：2021/12/01
Strain  Shape  Deformable models  Interpolation  Computational modeling  Geometry  Manifolds  Data driven  sparsity  large scale deformation  real-time deformation  
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