高林


中国科学院计算技术研究所博士生导师,副研究员,中国科学院大学岗位教师,英国皇家学会牛顿高级学者,2014年在清华大学获得工学博士学位(导师:胡事民教授),2009年在四川大学获得理学学士学位(导师:罗懋康教授),2016年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,数字几何处理,几何学习,深度学习,三维计算机视觉
English
长期招聘实习生、欢迎邮件联系!

代表性论文(*为通讯作者)


arXiv PrePrint



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*
CoRR abs/2003.13510 (2020)
Paper |  Video ( YouTube  Bilibili) |  Bibtex



RISA-Net: Rotation-Invariant and Structure-Aware Network for Fine-grained 3D Shape Retrieval
Rao Fu, Jie Yang, Jiawei Sun, Fanglue Zhang, Yu-Kun Lai, Lin Gao*
CoRR abs/2010.00973 (2020)
Paper |  Code  Bibtex


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 (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 (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

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, To Appear, 2021
Paper |  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
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

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

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

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

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



Deep Line Art Video Colorization with a Few References
Min Shi, Jia-Qi Zhang, Shu-Yu Chen, Lin Gao*, Yu-Kun Lai, Fang-Lue Zhang
IEEE Transactions on Visualization and Computer Graphics (Major Revision), 2021
Paper |  Video ( YouTube  Bilibili) |  Bibtex

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 (Minor Revision), 2021
Paper |  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 (Major Revision), 2021


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 [画出心中的林妹妹]
Shu-Yu Chen#, Wanchao Su#, Lin Gao*, Shihong Xia, Hongbo Fu
ACM Transactions on Graphics (SIGGRAPH 2020), 2020, 39(4), 72:1-72:16
Paper |  Project |  Video |  Fast Forward |  Online System |  Cover |  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

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), To Appear
Video |  Bibtex

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), To Appear
Paper |  Code |  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), To Appear
Paper |  Video

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 (SIGGRAPH ASIA 2019), 2019, 38(6), 243:1-243:15
Paper |  Project |  Video |  Fast Forward |  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 |  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 (SIGGRAPH ASIA 2018), 2018, 37(6), 237:1-237:15
Paper |  Project |  Code |  Video |  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 |  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 |  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 SIGGRAPH 2016), 2016, 35(5), 158:1-158:17
Paper |  Video |  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 |  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 (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



奖项


  • 共青团中央全国向上向善好青年,2021
  • 时谛智能CAD&CG青年学者奖,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
  • 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


  • 国家自然科学基金重点国际合作研究项目,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
  • 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,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,在研,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,在研,课题负责人
  • 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,在研,主持
  • 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,在研,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,在研,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,在研,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,在研,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,在研,课题负责人
  • 中国科协青年人才托举工程,2017-2019, 在研,主持
  • 中国科学院青年创新促进会,2019-2022, 在研,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, 在研,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, 在研,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, 在研,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,在研,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,在研,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, 在研,主持
  • 商汤青年科研基金,三维体数据的表示方法,2018-2019,在研,主持
  • 中科院计算所-好未来联合实验室,2019-2020,在研,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,在研,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,已结题,主持
  • 中科院计算所百星计划,2017-2020,在研,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,在研,参加


学术服务




员工



学生


在读博士生



在读硕士生


  • 吴桐、孙阳天、何月、杨志鹏、汤嘉恒、姜悦人、黄熠华、刘树智、潘澳旋、王力、林明仙、肖云鹏


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)


毕业生


博士生



硕士生



本科生包括本科实习生来源和去向



一些古诗词


陋室铭



劝学



短歌行







About ACM Trans. on Graphics, SIGGRAPH and SIGGRAPH Asia

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