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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：1/0  |  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  
Real-time Large-scale Deformation of Gaussian Splatting 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2024, 卷号: 43, 期号: 6, 页码: 17
作者:  Gao, Lin;  Yang, Jie;  Zhang, Bo-tao;  Sun, Jia-mu;  Yuan, Yu-jie;  Fu, Hongbo;  Lai, Yu-kun
收藏  |  浏览/下载：1/0  |  提交时间：2025/06/25
3D Gaussian Splatting  Deformation  Interactive  Data-Driven  Large-Scale  
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  
Two-stage deep neural network for diagnosing fungal keratitis via in vivo confocal microscopy images 期刊论文
SCIENTIFIC REPORTS, 2024, 卷号: 14, 期号: 1, 页码: 11
作者:  Li, Chun-Peng;  Dai, Weiwei;  Xiao, Yun-Peng;  Qi, Mengying;  Zhang, Ling-Xiao;  Gao, Lin;  Zhang, Fang-Lue;  Lai, Yu-Kun;  Liu, Chang;  Lu, Jing;  Chen, Fen;  Chen, Dan;  Shi, Shuai;  Li, Shaowei;  Zeng, Qingyan;  Chen, Yiqiang
收藏  |  浏览/下载：16/0  |  提交时间：2024/12/06
Fungal keratitis  Image classification  Neural network  Transformer  
SketchDream: Sketch-based Text-to-3D Generation and Editing 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2024, 卷号: 43, 期号: 4, 页码: 13
作者:  Liu, Feng-Lin;  Fu, Hongbo;  Lai, Yu-Kun;  Gao, Lin
收藏  |  浏览/下载：17/0  |  提交时间：2024/12/06
sketch-based interaction  diffusion models  neural radiance fields  3D generation  
Haisor: Human-aware Indoor Scene Optimization via Deep Reinforcement Learning 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2024, 卷号: 43, 期号: 2, 页码: 17
作者:  Sun, Jia-Mu;  Yang, Jie;  Mo, Kaichun;  Lai, Yu-Kun;  Guibas, Leonidas;  Gao, Lin
收藏  |  浏览/下载：10/0  |  提交时间：2024/12/06
Scene optimization  scene synthesis  human aware  reinforcement learning  Monte Carlo search  robot simulation  imitation learning  
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：24/0  |  提交时间：2024/05/20
Neural radiance fields  geometry editing  shape deformation  interactive editing  
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：21/0  |  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  
Learning-Based Intrinsic Reflectional Symmetry Detection 期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2023, 卷号: 29, 期号: 9, 页码: 3799-3808
作者:  Qiao, Yi-Ling;  Gao, Lin;  Liu, Shu-Zhi;  Liu, Ligang;  Lai, Yu-Kun;  Chen, Xilin
收藏  |  浏览/下载：40/0  |  提交时间：2023/12/04
Mesh processing  symmetry detection  deep learning  intrinsic reflectional symmetry  laplacian  eigenanalysis  
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：28/0  |  提交时间：2023/12/04
Computing methodologies  Physical simulation  Artificial intelligence