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STAR-TM: STructure Aware Reconstruction of Textured Mesh From Single Image 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15680-15693
作者:  Wu, Tong;  Gao, Lin;  Zhang, Ling-Xiao;  Lai, Yu-Kun;  Zhang, Hao
收藏  |  浏览/下载:2/0  |  提交时间:2024/05/20
Image reconstruction  Shape  Transformers  Periodic structures  Three-dimensional displays  Semantics  Training  Structure-aware single-view 3D reconstruction  textured meshes  texture completion  transformer  
Deep Deformation Detail Synthesis for Thin Shell Models 期刊论文
COMPUTER GRAPHICS FORUM, 2023, 页码: 13
作者:  Chen, Lan;  Gao, Lin;  Yang, Jie;  Xu, Shibiao;  Ye, Juntao;  Zhang, Xiaopeng;  Lai, Yu-Kun
收藏  |  浏览/下载:7/0  |  提交时间:2023/12/04
Computing methodologies  Physical simulation  Artificial intelligence  
Reference-Based Deep Line Art Video Colorization 期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2023, 卷号: 29, 期号: 6, 页码: 2965-2979
作者:  Shi, Min;  Zhang, Jia-Qi;  Chen, Shu-Yu;  Gao, Lin;  Lai, Yu-Kun;  Zhang, Fang-Lue
收藏  |  浏览/下载:7/0  |  提交时间:2023/12/04
Image color analysis  Art  Animation  Feature extraction  Three-dimensional displays  Transforms  Color  Line art colorization  color transform  temporal coherence  few shot learning  
GLIM-Net: Chronic Glaucoma Forecast Transformer for Irregularly Sampled Sequential Fundus Images 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 卷号: 42, 期号: 6, 页码: 1875-1884
作者:  Hu, Xiaoyan;  Zhang, Ling-Xiao;  Gao, Lin;  Dai, Weiwei;  Han, Xiaoguang;  Lai, Yu-Kun;  Chen, Yiqiang
收藏  |  浏览/下载:7/0  |  提交时间:2023/12/04
Transformers  Feature extraction  Predictive models  Image segmentation  Deep learning  Biomedical imaging  Task analysis  Glaucoma forecast  transformer  attention mechanism  fundus image  
Variational Autoencoders for Localized Mesh Deformation Component Analysis 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 10, 页码: 6297-6310
作者:  Tan, Qingyang;  Zhang, Ling-Xiao;  Yang, Jie;  Lai, Yu-Kun;  Gao, Lin
收藏  |  浏览/下载:27/0  |  提交时间:2022/12/07
Strain  Shape  Three-dimensional displays  Principal component analysis  Geometry  Convolution  Solid modeling  3D meshes  variational autoencoder  graph convolution  sparsity regularization  
NET: Deep Generative Networks for Textured Meshes 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2021, 卷号: 40, 期号: 6, 页码: 15
作者:  Gao, Lin;  Wu, Tong;  Yu-Jie Yuan;  Ming-Xian Lin;  Yu-Kun Lai;  Zhang, Hao
收藏  |  浏览/下载:18/0  |  提交时间:2022/12/07
Mesh representation  Mesh texture  Shape generation  
PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models 期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2021, 卷号: 27, 期号: 6, 页码: 3007-3018
作者:  Gao, Lin;  Zhang, Ling-Xiao;  Meng, Hsien-Yu;  Ren, Yi-Hui;  Lai, Yu-Kun;  Kobbelt, Leif
收藏  |  浏览/下载:38/0  |  提交时间:2021/12/01
Three-dimensional displays  Shape  Geometry  Two dimensional displays  Feature extraction  Solid modeling  Computational modeling  Unsupervised learning  convolutional neural network  symmetry detection  3D models  planar reflective symmetry  
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  
A survey on deep geometry learning: From a representation perspective 期刊论文
COMPUTATIONAL VISUAL MEDIA, 2020, 卷号: 6, 期号: 2, 页码: 113-133
作者:  Xiao, Yun-Peng;  Lai, Yu-Kun;  Zhang, Fang-Lue;  Li, Chunpeng;  Gao, Lin
收藏  |  浏览/下载:32/0  |  提交时间:2021/12/01
3D shape representation  geometry learning  neural networks  computer graphics  
Automatic 3D tooth segmentation using convolutional neural networks in harmonic parameter space 期刊论文
GRAPHICAL MODELS, 2020, 卷号: 109, 页码: 10
作者:  Zhang, Jianda;  Li, Chunpeng;  Song, Qiang;  Gao, Lin;  Lai, Yu-Kun
收藏  |  浏览/下载:51/0  |  提交时间:2020/12/10
Tooth segmentation  Convolutional neural networks  Dental mesh  Maximum flow  Surface parameterization