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NeUDF: Learning Neural Unsigned Distance Fields With Volume Rendering 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 4, 页码: 2364-2377
作者:  Liu, Yu-Tao;  Wang, Li;  Yang, Jie;  Chen, Weikai;  Meng, Xiaoxu;  Yang, Bo;  Gao, Lin
收藏  |  浏览/下载：3/0  |  提交时间：2024/05/20
Surface reconstruction  Rendering (computer graphics)  Image reconstruction  Shape  Image color analysis  Topology  Surface texture  Unsigned distance fields  volume rendering  shape reconstruction from multi-view images  open surfaces  
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  
Automatic Unpaired Shape Deformation Transfer 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2018, 卷号: 37, 期号: 6, 页码: 15
作者:  Gao, Lin;  Yang, Jie;  Qiao, Yi-Ling;  Lai, Yu-Kun;  Rosin, Paul L.;  Xu, Weiwei;  Xia, Shihong
收藏  |  浏览/下载：77/0  |  提交时间：2019/04/03
Deformation transfer  generative adversarial network  cycle consistency  visual similarity