高林


中国科学院计算技术研究所泛在计算系统研究中心副主任,研究员,博士生导师,中国科学院大学岗位教授,国家自然科学基金委优青,北京市杰青,英国皇家学会牛顿高级学者,在清华大学获得工学博士学位(导师:胡事民院士),曾在德国亚琛工业大学进行公派访问研究(合作导师:Leif Kobbelt教授)。

研究方向:计算机图形学,三维计算机视觉,数字几何处理,深度几何学习
English
长期招聘实习生、欢迎邮件联系!

2024年


Recent Advances in 3D Gaussian Splatting
Tong Wu, Yu-Jie Yuan, Ling-Xiao Zhang, Jie Yang, Yan-Pei Cao, Ling-Qi Yan, Lin Gao*
Computational Visual Media, 2024
Paper |  Bibtex

Recent advances in implicit representation-based 3D shape generation
Jia-Mu Sun, Tong Wu, Lin Gao*
Visual Intelligence, 2024
Paper

Real-time Large-scale Deformation of Gaussian Splatting
Lin Gao*, Jie Yang, Bo-Tao Zhang, Jia-Mu Sun, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai
ACM Transactions on Graphics (SIGGRAPH Asia 2024), 2024, 43 (6)
Project |  Video

NU-NeRF: Neural Reconstruction of Nested Transparent Objects with Uncontrolled Capture Environment
Jia-Mu Sun, Tong Wu, Ling-Qi Yan, Lin Gao*
ACM Transactions on Graphics (SIGGRAPH Asia 2024), 2024, 43 (6)
Project

DreamUDF: Generating Unsigned Distance Fields from A Single Image
Yu-Tao Liu, Xuan Gao, Weikai Chen, Jie Yang, Xiaoxu Meng, Bo Yang, Lin Gao*
ACM Transactions on Graphics (SIGGRAPH Asia 2024), 2024, 43 (6)
Project |  Video

SketchDream: Sketch-based Text-to-3D Generation and Editing
Feng-Lin Liu, Hongbo Fu, Yu-Kun Lai, Lin Gao*
ACM Transactions on Graphics (ACM SIGGRAPH 2024), 2024, 43 (4)
Project

HAISOR: Human-Aware Indoor Scene Optimization via Deep Reinforcement Learning
Jia-Mu Sun, Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao*
ACM Transactions on Graphics(Presented at SIGGRAPH 2024)
Project |  Video

DeferredGS: Decoupled and Editable Gaussian Splatting with Deferred Shading
Tong Wu, Jia-Mu Sun, Yu-Kun Lai, Yuewen ma, Leif Kobbelt, Lin Gao*
arxiv:2404.09412
Paper

NeRF-Texture: Synthesizing Neural Radiance Field Textures
Yihua Huang, Yan-Pei Cao, Yu-Kun Lai, Ying Shan, Lin Gao*
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI) (Extended version of SIGGRAPH 2023)

NeUDF: Learning Neural Unsigned Distance Fields with Volume Rendering
Yu-Tao Liu, Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Lin Gao*
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI) (Extended version of CVPR 2023)

Real-time 3D-aware Portrait Video Relighting
Ziqi Cai, Kaiwen Jiang, Shu-Yu Chen, Yu-Kun Lai, Hongbo Fu, Boxin Shi, Lin Gao*
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Project

Unsigned Orthogonal Distance Fields: An Accurate Neural Implicit Representation for Diverse 3D Shapes
Yujie Lu, Long Wan, Nayu Ding, Yulong Wang, Shuhan Shen, Shen Cai, Lin Gao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

DMiT: Deformable Mipmapped Tri-Plane Representation for Dynamic Scenes
Jing-Wen Yang, Jia-Mu Sun, Yongliang Yang, Jie Yang, Ying Shan, Yan-Pei Cao, Lin Gao*
European Conference on Computer Vision (ECCV), 2024


HSDF: Hybrid Sign and Distance Field for Nueral Representation of Surfaces with Arbitrary Topologies
Li Wang, Yu-Tao Liu, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Jintao Li, Lin Gao*
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2024

Retargeting Visual Data with Deformation Fields
Tim Elsner, Julia Berger, Tong Wu, Victor Czech, Lin Gao, Leif Kobbelt
European Conference on Computer Vision (ECCV), 2024

MuNeRF: Robust Makeup Transfer in Neural Radiance Fields
Yu-Jie Yuan#, Xinyang Han#, Yue He, Fang-Lue Zhang, Lin Gao*
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG) (Present at CVM 2024), To Appear

Multi-Level Patch Transformer for Style Transfer with Single Reference Image
Yue He#, Lan Chen#, Yu-Jie Yuan, Shu-Yu Chen, Lin Gao*
The 12th international conference on Computational Visual Media (CVM 2024)


2023年


SketchFaceNeRF: Sketch-based Facial Generation and Editing in Neural Radiance Fields
Lin Gao*, Feng-Lin Liu, Shu-Yu Chen, Kaiwen Jiang, Chunpeng Li, Yu-Kun Lai, Hongbo Fu
ACM Transactions on Graphics (ACM SIGGRAPH 2023), 2023
Paper |  Project |  Video ( YouTube  Bilibili) |  Online System

DE-NeRF: DEcoupled Neural Radiance Fields for View-Consistent Appearance Editing and High-Frequency Environmental Relighting
Tong Wu, Jia-Mu Sun, Yu-Kun Lai, Lin Gao*
ACM SIGGRAPH 2023
Paper |  Project |  Video ( YouTube  Bilibili)

NeRF-Texture: Texture Synthesis with Neural Radiance Fields
Yi-Hua Huang, Yan-Pei Cao, Yu-Kun Lai, Ying Shan, Lin Gao*
ACM SIGGRAPH 2023
Paper |  Project |  Video ( YouTube  Bilibili)

NeRFFaceLighting: Implicit and Disentangled Face Lighting Representation Leveraging Generative Prior in Neural Radiance Fields
Kaiwen Jiang, Shu-Yu Chen, Hongbo Fu, Lin Gao*
ACM Transactions on Graphics, 2023
Paper |  Project |  Video ( YouTube  Bilibili)

SOL-NeRF: Sunlight Modeling for Outdoor Scene Decomposition and Relighting
Jia-Mu Sun,Tong Wu, Yong-Liang Yang,Yu-Kun Lai, Lin Gao*
ACM SIGGRAPH Asia, 2023
Paper |  Project |  Video 

SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation with Fine-Grained Geometry
Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023
Paper |  Video ( YouTube  Bilibili)

STAR-TM: STructure Aware Reconstruction of Textured Mesh from Single Image
Tong Wu, Lin Gao, Ling-Xiao Zhang, Yu-Kun Lai, Hao Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023
Paper |  Project |  Video ( YouTube  Bilibili)

Interactive NeRF Geometry Editing with Shape Priors
Yu-Jie Yuan, Yang-Tian Sun, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, Leif Kobbelt, Lin Gao*
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023

NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral Meshes
Chenbo Jiang, Jie Yang, Shwai He, Yu-Kun Lai, Lin Gao*
International Conference on Machine Learning (ICML), 2023

ARTist: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation
Xinkai Song, Yuanbo Wen, Xing Hu, Tianbo Liu, Haoxuan Zhou, Husheng Han, Tian Zhi, Zidong Du, Wei Li, Rui Zhang, Chen Zhang, Lin Gao, Qi Guo, Tianshi Chen
IEEE/ACM International Symposium on Microarchitecture (MICRO), 2023

Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields
Wenbo Hu, Yuling Wang, Lin Ma, Bangbang Yang, Lin Gao, Xiao Liu, Yuewen Ma
International Conference on Computer Vision (ICCV), 2023 (Best Paper Finalist)

E3Sym: Leveraging E(3) Invariance for Unsupervised 3D Planar Reflective Symmetry Detection
Ren-Wu Li, Ling-Xiao Zhang, Chunpeng Li, Yu-Kun Lai, Lin Gao
International Conference on Computer Vision (ICCV), 2023

Text2Face: Text-based Face Generation with Geometry and Appearance Control
Zhaoyang Zhang, Junliang Chen, Hongbo Fu, Jianjun Zhao, Shu-Yu Chen, Lin Gao*
International Conference on Computational Visual Media 2023 (Recommended to IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG))
Paper |  Video ( YouTube  Bilibili)

GLIM-Net: Chronic Glaucoma Forecast Transformer for Irregularly Sampled Sequential Fundus Images
Xiaoyan Hu#, Ling-Xiao Zhang#, Lin Gao*, Weiwei Dai, Xiaoguang Han, Yu-Kun Lai, Yiqiang Chen*
IEEE Transactions on Medical Imaging (IEEE TMI), To Apprear
Paper

神经辐射场研究进展
袁宇杰,吴桐,杨洁,高林*
中国图象图形学学会通讯, 2(1), 9-25, 2023
Paper

DeepFaceReshaping: Interactive Deep Face Reshaping via Landmark Manipulation
Shu-Yu Chen, Yue-Ren Jiang, Hongbo Fu, Xinyang Han, Zitao Liu, Rong Li, Lin Gao*
International Conference on Computational Visual Media 2023 (Recommended to Computational Visual Media Journal)
Paper |  Video ( YouTube  Bilibili)

Identity-aware and Shape-aware Propagation of Face Editing in Videos
Yue-Ren Jiang#, Shu-Yu Chen#, Hongbo Fu, Lin Gao*
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), To Appear
Paper |  Project |  Paper

Keyframe Control of Music-driven 3D Dance Generation
Zhipeng Yang#, Yu-Hui Wen#, Shu-Yu Chen, Xiao Liu, Yuan Gao, Yong-Jin Liu*, Lin Gao*, Hongbo Fu
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), To Appear
Paper |  Video ( YouTube  Bilibili)

LC-NeRF: Local Controllable Face Generation in Neural Radiance Field
Wen-Yang Zhou, Lu Yuan, Shu-Yu Chen, Lin Gao, Shi-Min Hu
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), To Appear

SAC-GAN: Structure-Aware Image Composition
Hang Zhou, Rui Ma, Ling-Xiao Zhang, Lin Gao, Ali Mahdavi-Amiri, Richard Zhang
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), To Appear
Paper

Deep Deformation Detail Synthesis for Thin Shell Models
Lan Chen, Lin Gao, Jie Yang, Shibiao Xu, Juntao Ye, Xiaopeng Zhang, Yu-Kun Lai
Computer Graphics Forum (Eurographics Symposium on Geometry Processing 2023), 2023, 42(5), e14903:1-13

IMPLICITPCA: Implicitly-Proxied Parametric Encoding for Collision-Aware Garment Reconstruction
Lan Chen, Jie Yang, Hongbo Fu, Xiaoxu Meng, Weikai Chen, Bo Yang, Lin Gao
International Conference on Computational Visual Media 2023 (Recommended to Graphical Models)

High-Fidelity Point Cloud Completion with Low-Resolution Recovery and Noise-Aware Upsampling
Ren-Wu Li, Bo Wang, Lin Gao, Ling-Xiao Zhang, Chun-Peng Li
Graphical Models, To Appear
Paper


2022年


DeepFaceVideoEditing: Sketch-based Deep Editing of Face Videos
Feng-Lin Liu, Shu-Yu Chen, Yu-Kun Lai, Chun-Peng Li, Yue-Ren Jiang, Hongbo Fu, Lin Gao*
ACM Transactions on Graphics (ACM SIGGRAPH 2022), 2022, 41(4), 167:1-167:16
Paper |  Project |  Video ( YouTube  Bilibili) |  Bibtex

DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation
Jie Yang#, Kaichun Mo#, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao*
ACM Transactions on Graphics (Present at ACM SIGGRAPH 2022), 2022
Paper |  Project |  Video ( YouTube  Bilibili) |  Bibtex

NeRFFaceEditing: Disentangled Face Editing in Neural Radiance Fields
Kaiwen Jiang, Shu-Yu Chen, Feng-Lin Liu, Hongbo Fu, Lin Gao*
Proceedings of ACM SIGGRAPH Asia 2022
Paper |  Project |  Video ( YouTube  Bilibili)

RGBDNeRF: Neural Radiance Fields from Sparse RGB-D Images for High-Quality View Synthesis
Yu-Jie Yuan, Yu-Kun Lai, Yi-Hua Huang, Leif Kobbelt, Lin Gao*
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022
Paper |  Project |  Video ( YouTube  Bilibili) |  Bibtex



Human Motion Transfer with 3D Constraints and Detail Enhancement
Yang-Tian Sun, Qian-Cheng Fu, Yue-Ren Jiang, Zitao Liu, Yu-Kun Lai, Hongbo Fu, Lin Gao*
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022
Paper |  Video ( YouTube  Bilibili) |  Bibtex

Robust Pose Transfer with Dynamic Details using Neural Video Rendering
Yang-Tian Sun, Hao-Zhi Huang, Xuan Wang, Yu-Kun Lai, Wei Liu, Lin Gao*
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022
Paper |  Video ( YouTube  Bilibili) |  Bibtex

Motif-GCNs with Local and Non-Local Temporal Blocks for Skeleton-based Action Recognition
Yu-Hui Wen, Lin Gao*, Hongbo Fu, Fang-Lue Zhang, Shihong Xia, Yong-Jin Liu*
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022
Paper |  Bibtex


HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary Topologies
Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Jintao Li, Lin Gao*
The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS), 2022
Paper


NeRF-Editing: Geometry Editing of Neural Radiance Fields
Yu-Jie Yuan#, Yang-Tian Sun#, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, Lin Gao*
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Paper |  Project


StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning
Yi-Hua Huang, Yue He, Yu-Jie Yuan, Yu-Kun Lai, Lin Gao*
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Paper |  Project


Sci-tech arts on Chang'e-5 lunar soil
Wei Yang*, Yi Wang*, Lin Gao*, Di Zhang, Jie Yang, Zhijie Qiu
The Innovation, 2022, 3(5), 100300
Paper

DrawingInStyles: Portrait Image Generation and Editing with Spatially Conditioned StyleGAN
Wanchao Su, Hui Ye, Shu-Yu Chen, Lin Gao, Hongbo Fu
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2022
Paper

Learning-based Real-time Detection of Intrinsic Reflectional Symmetry
Yi-Ling Qiao, Lin Gao*, Shu-Zhi Liu, Ligang Liu, Yu-Kun Lai, Xilin Chen
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG)(Presented at CVM 2022), 2022
Paper

Learning on 3D Meshes with Laplacian Encoding and Pooling
Yi-Ling Qiao, Lin Gao*, Jie Yang, Paul L. Rosin, Yu-Kun Lai, Xilin Chen
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 28(2), 1317-1327
Paper |  Code |  Bibtex

Active Colorization for Cartoon Line Drawings
Shu-Yu Chen, Jia-Qi Zhang, Lin Gao*, Yue He, Shihong Xia, Min Shi, Fang-Lue Zhang
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 28(2), 1198-1208
Paper |  Video ( YouTube  Bilibili) |  Bibtex

Synthesizing Mesh Deformation Sequences with Bidirectional LSTM
Yi-Ling Qiao, Yu-Kun Lai, Hongbo Fu, Lin Gao*
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2022, 28(4), 1906-1916
Paper |  Video ( YouTube  Bilibili)



Reference-based Deep Line Art Video Colorization
Min Shi, Jia-Qi Zhang, Shu-Yu Chen, Lin Gao*, Yu-Kun Lai, Fang-Lue Zhang
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), To Appear, 2022
Paper |  Video ( YouTube  Bilibili) |  Bibtex



Generating Diverse Clothed 3D Human Animations via a Generative Model
Min Shi, Wenke Feng, Lin Gao, Dengming Zhu
Computational Visual Media, 2022



3D Face Reconstruction and Gaze Tracking in the HMD for Virtual Interaction
Shu-Yu Chen, Yu-Kun Lai, Shihong Xia, Paul L. Rosin, Lin Gao*
IEEE Transactions on Multimedia, To Appear, 2022
Paper

Viewpoint Alignment and Discriminative Parts Enhancement in 3D Space for Vehicle ReID
Dechao Meng, Liang Li, Xuejing Liu, Lin Gao, Qingming Huang
IEEE Transactions on Multimedia, 2022
Paper



A review of image and video colorization: From analogies to deep learning
Shu-Yu Chen, Jia-Qi Zhang, You-You Zhao, Paul L. Rosin, Yu-Kun Lai, Lin Gao*
Visual Informatics, To Appear, 2022
Paper


2021年

TM-NET: Deep Generative Networks for Textured Meshes
Lin Gao, Tong Wu, Yu-Jie Yuan, Ming-Xian Lin, Yu-Kun Lai, Hao Zhang
ACM Transactions on Graphics (ACM SIGGRAPH Asia 2021), 2021, 40 (6), 263:1-263:15
Paper |  Project |  Video  ( YouTube  Bilibili) |  Bibtex

DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control
Shu-Yu Chen#, Feng-Lin Liu#, Yu-Kun Lai, Paul Rosin, Chun-Peng Li, Hongbo Fu, Lin Gao*
ACM Transactions on Graphics (ACM SIGGRAPH 2021), 2021, 40(4), 90:1-90:15
Paper |  Project |  Video |  Fast Forward |  Bibtex

Variational Autoencoders for Localized Mesh Deformation Component Analysis
Qingyang Tan#, Ling-Xiao Zhang#, Jie Yang, Yu-Kun Lai, Lin Gao*
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2021
Paper

Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders
Jie Yang, Lin Gao*, Qingyang Tan, Yi-Hua Huang, Shihong Xia, Yu-Kun Lai
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), To Appear, 2021
Paper |  Bibtex

ACAP: Sparse Data Driven Mesh Deformation
Lin Gao, Yu-Kun Lai, Jie Yang, Ling-Xiao Zhang, Shihong Xia, Leif Kobbelt
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 27(3), 2085-2100
Paper |  Video ( YouTube  Bilibili) |  Bibtex

PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models (Awarded the Replicability Stamp)
Lin Gao, Ling-Xiao Zhang, Hsien-Yu Meng, Yi-Hui Ren, Yu-Kun Lai, Leif Kobbelt
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 27(6), 3007-3018
Paper |  Project |  Bibtex

OctField: Hierarchical Implicit Functions for 3D Modeling
Jia-Heng Tang#, Weikai Chen#, Jie Yang, Bo Wang, Songrun Liu, Bo Yang, Lin Gao*
The Thirty-Fifth Annual Conference on Neural Information Processing Systems (NeurIPS), 2021
Paper |  Project |  BibTex 

Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning
Mingxian Lin, Jie Yang, He Wang, Yu-Kun Lai, Rongfei Jia , Binqiang Zhao, Lin Gao*
IEEE International Conference on Computer Vision (ICCV), 2021
Paper

3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics
Huan Fu, Bowen Cai, Lin Gao, Ling-Xiao Zhang, Jiaming Wang, Cao Li, Qixun Zeng, Chengyue Sun, Rongfei Jia, Binqiang Zhao, Hao Zhang
IEEE International Conference on Computer Vision (ICCV), 2021
Paper

3D-FUTURE: 3D FUrniture shape with TextURE
Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Steve Maybank, Dacheng Tao
International Journal of Computer Vision (IJCV), 2021
Paper

Autoregressive Stylized Motion Synthesis with Generative Flow
Yu-Hui Wen#, Zhipeng Yang#, Hongbo Fu, Lin Gao*, Yanan Sun, Yong-Jin Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Paper

STD-Net: Structure-preserving and Topology-adaptive Deformation Network for Single-View 3D Reconstruction
Aihua Mao, Canglan Dai, Jie Yang, Lin Gao, Ying He, Yong-jin Liu
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), To Appear, 2021.
Paper |  Bibtex

A Revisit of Shape Editing Techniques: from the Geometric to the Neural Viewpoint
Yu-Jie Yuan, Yu-Kun Lai, Tong Wu, Lin Gao*, Ligang Liu
Journal of Computer Science and Technology, To Appear, 2021
Paper |  Bibtex


2020年

A Survey on Deep Geometry Learning: From a Representation Perspective
Yun-Peng Xiao, Yu-Kun Lai, Fang-Lue Zhang, Chunpeng Li, Lin Gao*
Computational Visual Media, 2020, 6, 113-133
Paper |  Bibtex

DeepFaceDrawing: Deep Generation of Face Images from Sketches
Shu-Yu Chen#, Wanchao Su#, Lin Gao*, Shihong Xia, Hongbo Fu
ACM Transactions on Graphics (ACM SIGGRAPH 2020), 2020, 39(4), 72:1-72:16
Paper |  Project |  Video |  Fast Forward |  Online System |  Cover |  Bibtex

Realtime Simulation of Thin-Shell Deformable Materials using CNN-Based Mesh Embedding
Qingyang Tan, Zherong Pan, Lin Gao, Dinesh Manocha
IEEE Robotics and Automation Letters, 2020, 5(2), 2325-2332
Paper |  Bibtex

Mesh Variational Autoencoders with Edge Contraction Pooling
Yu-Jie Yuan, Yu-Kun Lai, Jie Yang, Qi Duan, Hongbo Fu, Lin Gao*
Learning 3D Generative Models, CVPR 2020 Workshop
Paper |  Bibtex

Automatic 3D Tooth Segmentation using Convolutional Neural Networks in Harmonic Parameter Space
Jianda Zhang, Chunpeng Li, Qiang Song, Lin Gao, Yu-Kun Lai
Graphical Models, 2020, 109
Paper |  Bibtex

Fully Automatic Facial Deformation Transfer
Shaojun Bian ,Anzong Zheng, Lin Gao, Greg Maguire, Willem Kokke, Jon Macey, Lihua You, Jian-Jun Zhang
Symmetry, 2020, 12(1), 27
Paper |  Bibtex


2019年

SDM-NET: Deep Generative Network for Structured Deformable Mesh (Awarded the Replicability Stamp)
Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, Hao (Richard) Zhang
ACM Transactions on Graphics (ACM SIGGRAPH Asia 2019), 2019, 38(6), 243:1-243:15
Paper |  Project |  Video ( YouTube  Bilibili) |  Fast Forward |  Bibtex

Temporal Upsampling of Depth Maps Using a Hybrid Camera
Mingze Yuan, Lin Gao*, Hongbo Fu, Shihong Xia
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2019, 25(3), 1591-1602
Paper |  Bibtex

VV-Net: Voxel VAE Net with Group Convolutions for Point Cloud Segmentation
Hsien-Yu Meng, Lin Gao*, Yu-Kun Lai, Dinesh Manocha
International Conference in Computer Vision (ICCV), 2019
Paper |  Bibtex

Graph CNNs with Motif and Variable Temporal Block for Skeleton-based Action Recognition
Yu-Hui Wen, Lin Gao*, Hongbo Fu, Fang-Lue Zhang, Shihong Xia
AAAI Conference on Artificial Intelligence, 2019, 8989-8996
Paper |  Code |  Bibtex

Data-Driven Weight Optimization for Real-Time Mesh Deformation
Yu-jie Yuan, Yu-Kun Lai, Tong Wu, Shihong Xia, Lin Gao*
Graphical Models, 2019, 104
Paper |  Bibtex


2018年

VC-GAN (VAE CYCLE GAN): Automatic Unpaired Shape Deformation Transfer (Awarded the Replicability Stamp)
Lin Gao, Jie Yang, Yi-Ling Qiao, Yu-Kun Lai, Paul Rosin, Weiwei Xu, Shihong Xia
ACM Transactions on Graphics (ACM SIGGRAPH Asia 2018), 2018, 37(6), 237:1-237:15
Paper |  Project |  Code |  Video ( YouTube  Bilibili) |  Bibtex

MeshVAE: Variational Autoencoders for Deforming 3D Mesh Models
Qingyang Tan, Lin Gao*, Yu-Kun Lai, Shihong Xia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, 5841-5850
Paper |  Bibtex

SparseAE: Mesh-based Autoencoders for Localized Deformation Component Analysis
Qingyang Tan, Lin Gao*, Yu-Kun Lai, Jie Yang, Shihong Xia
AAAI Conference on Artificial Intelligence (spotlight), 2018, 2452-2459
Paper |  Code |  Bibtex

SF-Net: Learning Scene Flow from RGB-D Images with CNNs
Yi-Ling Qiao, Lin Gao*, Yu-Kun Lai, Fang-Lue Zhang, Ming-Ze Yuan, Shihong Xia
The British Machine Vision Conference (BMVC), 2018, 281
Paper |  Bibtex

Real-time 3D Face Reconstruction and Gaze Tracking for Virtual Reality
Shu-Yu Chen, Lin Gao*, Yu-Kun Lai, Paul L. Rosin, Shihong Xia
IEEE Conference on Virtual Reality (IEEE VR), 2018, 525-526
Paper |  Video ( YouTube  Bilibili) |  Bibtex

Bi-harmonic Deformation Transfer with Automatic Key Point Selection
Jie Yang, Lin Gao*, Yu-Kun Lai, Paul Rosin, Shihong Xia
Graphical Models, 2018, 98, 1-13
Paper |  Bibtex


2017年

Data-Driven Shape Interpolation and Morphing Editing
Lin Gao, Shu-Yu Chen, Yu-Kun Lai, Shihong Xia
Computer Graphics Forum, 2017, 36(8), 19-31
Paper |  Video ( YouTube  Bilibili) |  Bibtex

Rigidity Controllable As-Rigid-As-Possible Shape Deformation
Shu-Yu Chen, Lin Gao*, Yu-Kun Lai, Shihong Xia
Graphical Models, 2017, 91, 13-27
Paper |  Bibtex

A Survey on Human Performance Capture and Animation
Shihong Xia, Lin Gao*, Yu-Kun Lai, Ming-Ze Yuan, Jinxiang Chai
Journal of Computer Science and Technology, 2017, 32(3), 536-554
Paper |  Bibtex


2017年之前

RIMD: Efficient and Flexible Deformation Representation for Data-Driven Surface Modeling
Lin Gao, Yu-Kun Lai, Dun Liang, Shu-Yu Chen, Shihong Xia
ACM Transactions on Graphics (Presented at ACM SIGGRAPH 2016), 2016, 35(5), 158:1-158:17
Paper |  Video ( YouTube  Bilibili) |  Cover |  Bibtex

Active Exploration of Large 3D Model Repositories
Lin Gao, Yan-Pei Cao, Yu-Kun Lai, Hao-Zhi Huang, Leif Kobbelt, Shi-Min Hu
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2015, 12(21), 1390-1402
Paper |  Video ( YouTube  Bilibili) |  Bibtex

A Data-Driven Approach to Realistic Shape Morphing
Lin Gao, Yu-Kun Lai, Qixing Huang, Shi-Min Hu
Computer Graphics Forum (Eurographics 2013), 2013, 32(2), 449-457
Paper |  Bibtex

An Optimization Approach for Extracting and Encoding Consistent Maps in a Shape Collection
Qixing Huang, Guoxin Zhang, Lin Gao, Shi-Min Hu, Adrian Bustcher, Leonidas Guibas
ACM Transactions on Graphics (ACM SIGGRAPH Asia 2012), 2012, 31(6), 167:1--167:11
Paper |  Bibtex

Lp Shape Deformation
Lin Gao, Guo-Xin Zhang, Yu-Kun Lai
Science China Information Sciences, 2012, 55(5), 983-993
Paper |  Bibtex



奖励与人才项目



  • 国家自然科学基金委优青,2023
  • 吴文俊人工智能优秀青年奖, 2022
  • 中科院计算所卓越之星, 2022
  • 北京市杰青, 2021
  • 共青团中央全国向上向善好青年, 2021
  • 中国计算机学会CAD&CG专委会图形开源奖, 2021
  • 亚洲图形青年学者奖, 2020
  • 英国皇家学会牛顿高级学者, 2019
  • CCF科学技术奖技术发明一等奖, 2018
  • 中科院计算所卓越之星, 2017
  • 全国计算机辅助设计与图形学学术会议-最佳海报奖, 2022
  • 计算机图形学与混合现实研讨会-最佳海报奖, 2022
  • 时谛智能CAD&CG青年学者奖, 2021
  • 中国计算机学会图形开源数据集奖, 2020
  • 中国计算机学会图形开源软件提名奖, 2020
  • CCF-腾讯犀牛鸟基金卓越奖, 2019
  • 曙光奖教金, 2019
  • 中科院计算所优秀科研人员, 2019
  • 陆增镛CAD&CG高科技奖二等奖, 2019
  • 中科院计算所优秀科研人员, 2017
  • 中国仿真学会科技进步类一等奖, 2017
  • 中国科协青年人才托举工程, 2017
  • 中科院计算所百星计划, 2017
  • 中科院计算所优秀科研人员, 2015
  • 移动计算与新型终端北京市重点实验室优秀论文一等奖, 2015
  • 清华大学计算机科学与技术系优秀毕业生, 2013
  • 博士生国家奖学金, 2013


科研项目


  • 国家自然科学基金优秀青年科学基金项目,计算机图形学,2024/01 - 2026/12,200万元,在研,主持
  • 国家自然科学基金国际合作研究项目,基于深度几何表示的三维模型分析与建模方法研究,2021/01 - 2023/12,300万元,在研,主持
  • 北京市杰出青年科学基金项目,智能数字媒体分析和合成方法研究,2021/11-2024/12,100万元,在研,主持
  • 中国科学院计算技术研究所创新课题,神经图形技术与数字人生成,2023/07-2025/06,在研,主持
  • 国家自然科学基金面上项目,数据驱动的三维模型合成技术研究,2019/01-2022/12,结题,主持
  • 中国科学院科技服务网络计划(STS)区域重点项目,面向眼健康管理的智能无人巡诊系统及大数据平台建设,2021/01-2022/12,250万元,结题,主持
  • CCF-腾讯犀牛鸟基金,面向数字内容生产的智能几何分析建模方法研究,2021/12-2023/12,在研,主持
  • 英国皇家学会牛顿高级学者基金,Deep Representations for Analysis and Reconstruction of 3D Shapes with Complex Structure and Rich Details,2019/12-2021/11,结题,主持
  • 国家科技计划,基于智能芯片的高质量图形内容合成方法研究,2020/11-2021/11,结题,课题负责人
  • 中国科学院计算技术研究所创新课题,深度几何学习基础与应用,2019/05-2021/04,结题,主持
  • 国际科技合作/港澳台科技合作专项,基于深度生成网络的高质量三维模型的重建与绘制方法,2019/8-2021/7,结题,课题负责人
  • 北京市自然科学基金-海淀原始创新联合基金重点研究项目,体数据实时变形与交互操作及其在肺癌手术仿真的应用,2018/12-2021/12,结题,课题负责人
  • 之江实验室开放课题,室外场景语义分割与重建,2021/01-2022/12,结题,课题负责人
  • 深圳市大数据研究院开放课题基金,基于智能几何处理的肺癌手术导航与仿真,2019/07-2021/06,结题,课题负责人
  • 中国科协青年人才托举工程,2017-2019, 结题,主持
  • 中国科学院青年创新促进会,2019-2022, 结题,主持
  • CCF-腾讯犀牛鸟基金,基于单目图像和深度生成网络的高质量三维模型重建方法,2020/03-2021/03, 结题,主持
  • 腾讯AI Lab犀牛鸟专项研究计划(Tencent AI Lab Rhino-Bird Focused Research Program(No. JR202024),JR202024,高质量人体动作迁移视频的合成方法研究,2020/03-2021/03, 结题,主持
  • 国家自然科学基金海外及港澳学者合作研究基金,61828204,基于单目图像的数据驱动几何模型重建,2019/01-2020/12, 结题,中方主持
  • 国家自然科学基金青年基金,61502453,数据驱动的非刚体几何模型注册新方法研究、2016/1-2018/12,结题,主持
  • 开放课题: 虚拟现实技术与系统国家重点实验室;模式识别国家重点实验室; 浙江大学CAD&CG国家重点实验室;移动计算与新型终端北京市重点实验室,2019/01-2020/12,结题,主持
  • 国家自然科学基金国际(地区)合作与交流项目,61611130215,基于数据驱动非刚体注册的人体运动重建,2016/4-2018/3,已结题,主持
  • 华为研究课题,三维模型变形与合成研究,2018-2019, 结题,主持
  • 商汤青年科研基金,三维体数据的表示方法,2018-2019,结题,主持
  • 中科院计算所-好未来联合实验室,2019-2020,结题,主持
  • CCF-腾讯犀牛鸟科研基金,基于条件生成对抗网络的线稿图着色方法,2018/8-2019/8,结题,主持
  • CCF-腾讯犀牛鸟科研基金,虚拟人物头肩模型研究,2016/8-2017/8,结题,主持
  • 中科院计算所百星计划,2017-2020,结题,主持
  • 计算所创新课题,无标记高精度人体运动实时捕获技术与系统研究,2016/1-2018/12,100万元,结题,参加


学术服务




团队成员



学生


在读博士生




实习生


  • 中国科学院大学:张朝阳、付娆、袁艺、王瀚霄、陈修齐、朱袁兵
  • 北京交通大学:蒋楷文,蔡子琪
  • 北京电影学院:陈俊良
  • 武汉大学:董续林
  • 电子科技大学:刘峰林
  • 华中科技大学:孙嘉木
  • 郑州大学:胡孝严、蔡文川、王鹏九
  • 中科院自动化所:陈岚(博士)

hide


毕业生


博士生



硕士生



本科生包括本科实习生来源和去向







About ACM Trans. on Graphics, SIGGRAPH and SIGGRAPH Asia

Reference: https://dl.acm.org/journal/tog/about