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VD-NeRF: Visibility-Aware Decoupled Neural Radiance Fields for View-Consistent Editing and High-Frequency Relighting 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2025, 卷号: 47, 期号: 5, 页码: 3344-3357
作者:  Wu, Tong;  Sun, Jia-Mu;  Lai, Yu-Kun;  Gao, Lin
收藏  |  浏览/下载：6/0  |  提交时间：2025/06/25
Geometry  Lighting  Rendering (computer graphics)  Decoding  Image reconstruction  Feature extraction  Density functional theory  Image color analysis  Cameras  Training  Neural radiance fields  inverse rendering  editing  
Towards High-Quality and Disentangled Face Editing in a 3D GAN 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2025, 卷号: 47, 期号: 4, 页码: 2533-2544
作者:  Jiang, Kaiwen;  Chen, Shu-Yu;  Liu, Feng-Lin;  Fu, Hongbo;  Gao, Lin
收藏  |  浏览/下载：6/0  |  提交时间：2025/06/25
Geometry  Decoding  Semantics  Image color analysis  Three-dimensional displays  Faces  Training  Neural radiance field  Codes  Rendering (computer graphics)  Face editing  neural radiance fields  neural rendering  semantic-mask-based interfaces  volume disentangling  
Text2Face: Text-Based Face Generation With Geometry and Appearance Control 期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2024, 卷号: 30, 期号: 9, 页码: 6481-6492
作者:  Zhang, Zhaoyang;  Chen, Junliang;  Fu, Hongbo;  Zhao, Jianjun;  Chen, Shu-Yu;  Gao, Lin
收藏  |  浏览/下载：18/0  |  提交时间：2024/12/06
Faces  Geometry  Feature extraction  Semantics  Pipelines  Nose  Image synthesis  Image generation  face editing  sketching interface  text-based user interaction  
Sketch Beautification: Learning Part Beautification and Structure Refinement for Sketches of Man-Made Objects 期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2024, 卷号: 30, 期号: 9, 页码: 6533-6546
作者:  Yu, Deng;  Lau, Manfred;  Gao, Lin;  Fu, Hongbo
收藏  |  浏览/下载：18/0  |  提交时间：2024/12/06
Task analysis  Training  Interpolation  Manifolds  Layout  Image reconstruction  Geometry  Sketch assembly  sketch beautification  sketch implicit representation  
NeRF-Texture: Synthesizing Neural Radiance Field Textures 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 9, 页码: 5986-6000
作者:  Huang, Yi-Hua;  Cao, Yan-Pei;  Lai, Yu-Kun;  Shan, Ying;  Gao, Lin
收藏  |  浏览/下载：15/0  |  提交时间：2024/12/06
Shape  Rendering (computer graphics)  Surface texture  Feature extraction  Geometry  Optimization  Image reconstruction  Meso-structure texture  neural radiance fields  texture synthesis  
LC-NeRF: Local Controllable Face Generation in Neural Radiance Field 期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2024, 卷号: 30, 期号: 8, 页码: 5437-5448
作者:  Zhou, Wen-Yang;  Yuan, Lu;  Chen, Shu-Yu;  Gao, Lin;  Hu, Shi-Min
收藏  |  浏览/下载：14/0  |  提交时间：2024/12/06
Geometry  Faces  Three-dimensional displays  Generators  Semantics  Codes  Controllability  3D face generation  neural radiance fields  semantic manipulation  
Interactive NeRF Geometry Editing With Shape Priors 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14821-14837
作者:  Yuan, Yu-Jie;  Sun, Yang-Tian;  Lai, Yu-Kun;  Ma, Yuewen;  Jia, Rongfei;  Kobbelt, Leif;  Gao, Lin
收藏  |  浏览/下载：26/0  |  提交时间：2024/05/20
Neural radiance fields  geometry editing  shape deformation  interactive editing  
I3N: Intra- and Inter-Representation Interaction Network for Change Captioning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 8828-8841
作者:  Yue, Shengbin;  Tu, Yunbin;  Li, Liang;  Yang, Ying;  Gao, Shengxiang;  Yu, Zhengtao
收藏  |  浏览/下载：26/0  |  提交时间：2024/05/20
Change captioning  geometry-semantic interaction refining  hierarchical representation interaction  intra- and inter- representation interaction  
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：53/0  |  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  
A Machine Learning Approach for Optimization of Channel Geometry and Source/Drain Doping Profile of Stacked Nanosheet Transistors 期刊论文
IEEE TRANSACTIONS ON ELECTRON DEVICES, 2022, 页码: 7
作者:  Xu, Haoqing;  Gan, Weizhuo;  Cao, Lei;  Yang, Cheng;  Wu, Jiahao;  Zhou, Mi;  Qu, Hengze;  Zhang, Shengli;  Yin, Huaxiang;  Wu, Zhenhua
收藏  |  浏览/下载：49/0  |  提交时间：2022/12/07
Performance evaluation  Doping  Optimization  Geometry  Semiconductor process modeling  Training  Logic gates  Machine learning  multi-objective optimization (MOO)  nanosheet  technology computer-aided design (TCAD) simulation