Hi, Iβm Linning! I recently obtained my PhD from CUHK, Multimedia Lab (MMLab).
My research interests include AI for Film (π¬) and City (π), with an emphasis on neural rendering and neural scene representations for highβfidelity virtualized spaces where poeple can interact and explore.
Iβm particularly passionate about crafting immersive experiences that highlight the natural beauty of our world and envision spatial intelligence enriching our everyday lives.
Feel free to explore our LandMark project and city-super series βοΈ
π° News
a box of sweet chocolates (click to expand :)
- 2024-02: One paper got accepted to CVPR2024π±
- 2023-10: We are organizing the Third Workshop of CVEU @ICCV 2023π«π·
- 2023-08: One paper got accepted to SIGGRAPH ASIA 2023πΆ
- 2023-07: Two papers got accepted to ICCV2023π
- 2023-02 π 2023-06: Internship at Meta Reality Labs, Pittsburghπ
- 2023-02: Two papers got accepted to CVPR2023π½
- 2022-07: One paper got accepted to ECCV2022π
- 2022-03: One paper got accepted to SIGGRAPH'2022π§π»βπ¨
- 2022-01: One paper got accepted to TMM2022πΉ
- 2021-07: One paper got accepted to ICCV2021π₯₯
- 2021-06: One paper got accepted to TMM2021π
- 2020-07: Three papers got accepted to ECCV2020π
- 2020-07: One paper got accepted to MLSP2020π°
- 2020-02: One paper got accepted to CVPR2020π¦
- 2019-07: Got admitted to the PhD program at CUHK MMLab (β§ββ¦)οΎ!!!
π Publications
(π) MV-CoLight: Efficient Object Compositing with Consistent Lighting and Shadow Generation
Kerui Ren, Jiayang Bai, Linning Xu, Lihan Jiang, Jiangmiao Pang, Mulin Yu, Bo Daipreprint
(π) HaloGS: Loose Coupling of Compact Geometry and Gaussian Splats for 3D Scenes
Changjian Jiang, Kerui Ren, Linning Xu, Jiong Chen, Jiangmiao Pang, Yu Zhang, Bo Dai, Mulin Yupreprint
(π) AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Views
Lihan Jiang, Yucheng Mao, Linning Xu, Tao Lu, Kerui Ren, Yichen Jin, Xudong Xu, Mulin Yu, Jiangmiao Pang, Feng Zhao, Dahua Lin, Bo Daipreprint
(π) Virtualized 3D Gaussians: Flexible Cluster-based Level-of-Detail System for Real-Time Rendering of Composed Scenes
Xijie Yang, Linning Xu, Lihan Jiang, Bo DaiSIGGRAPH 2025
(π) FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution Rendering
Guofeng Feng, Siyan Chen, Rong Fu, Zimu Liao, Yi Wang, Tao Liu, Boni Hu, Linning Xu, Zhilin Pei, Hengjie Li, Xiuhong Li, Ninghui Sun, Xingcheng Zhang, Bo DaiCVPR 2025
(π) Horizon-GS: Unified 3D Gaussian Splatting for Large-Scale Aerial-to-Ground Scenes
Lihan Jiang*, Kerui Ren*, Mulin Yu, Linning Xu, Junting Dong, Tao Lu, Feng Zhao, Dahua Lin, Bo DaiCVPR 2025
(π) Proc-GS: Procedural Building Generation for City Assembly with 3D Gaussians
Yixuan Li, Xingjian Ran, Linning Xu, Tao Lu, Mulin Yu, Zhenzhi Wang, Yuanbo Xiangli, Dahua Lin, Bo DaiCVPR 2025 Workshop on Urban Scene Modeling
(π) Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text
Xinyang Li, Zhangyu Lai, Linning Xu, Yansong Qu, Liujuan Cao, Shengchuan Zhang, Bo Dai, Rongrong JiNeurIPS 2024
(π) GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction
Mulin Yu*, Tao Lu*, Linning Xu, Lihan Jiang, Yuanbo Xiangli, Bo DaiNeurIPS 2024
(π) Fisheye-GS: Lightweight and Extensible Gaussian Splatting Module for Fisheye Cameras
Zimu Liao , Siyan Chen, Rong Fu, Yi Wang, Zhongling Su, Hao Luo, Ma Li, Linning Xu, Bo Dai, Hengjie Li, Zhilin Pei, Xingcheng Zhang,ECCV 2024 Workshop on Neural Fields Beyond Conventional Cameras
(π) Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians
Kerui Ren*, Lihan Jiang*, Tao Lu, Mulin Yu, Linning Xu, Zhangkai Ni, Bo DaiTPAMI 2024
(π) Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
Tao Lu*, Mulin Yu*, Linning Xu, Yuanbo Xiangli, Limin Wang, Dahua Lin, Bo DaiCVPR 2024
(π‘) VR-NeRF: High-Fidelity Virtualized Walkable Spaces
Linning Xu, Vasu Agrawal, William Laney, Tony Garcia, Aayush Bansal, Changil Kim, Samuel Rota BulΓ², Lorenzo Porzi, Peter Kontschieder, AljaΕΎ BoΕΎiΔ Dahua Lin, Michael Zollhoefer, Christian RichardtSIGGRAPH ASIA 2023
(π) MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond
Yixuan Li*, Lihan Jiang*, Linning Xu, Yuanbo Xiangli, Zhenzhi Wang, Dahua Lin, Bo DaiICCV 2023
(π) AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation
Yuanbo Xiangli*, Linning Xu, Xingang Pan, Nanxuan Zhao, Bo Dai, and Dahua LinICCV 2023
(π) Grid-guided Neural Radiance Fields for Large Urban Scenes
Linning Xu, Yuanbo Xiangli*, Sida Peng, Xingang Pan, Nanxuan Zhao, Christian Theobalt, Bo Dai, and Dahua LinCVPR 2023
(π) OmniCity: Omnipotent city understanding with multi-level and multi-view images
Weijia Li, Yawen Lai, Linning Xu, Yuanbo Xiangli, Jinhua Yu, Conghui He, Guisong Xia, and Dahua LinCVPR 2023
(π¬) Dynamic Storyboard Generation in an Engine-based Virtual Environment for Video Production
Anyi Rao, Xuekun Jiang, Yuwei Guo, Linning Xu, Lei Yang, Libiao Jin, Dahua Lin, and Bo DaiSIGGRAPH 2023 Poster
(π) BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering
CityNeRF: Building NeRF at City Scale (Previous version)
Yuanbo Xiangli*, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, and Dahua LinECCV 2022
(π¬) Shoot360: Normal View Video Creation from City Panorama Footage
Anyi Rao, Linning Xu, and Dahua LinSIGGRAPH 2022
(π¬) A Coarse-to-Fine Framework for Automatic Video Unscreen
Anyi Rao, Linning Xu, Zhizhong Li, Qingqiu Huang, Zhanghui Kuang Wayne Zhang, and Dahua LinTMM 2022
(π) BlockPlanner: City Block Generation with Vectorized Graph Representation
Linning Xu, Yuanbo Xiangli*, Anyi Rao, Nanxuan Zhao, Bo Dai, Ziwei Liu, and Dahua LinICCV 2021
(π¬) Jointly Learning the Attributes and Composition of Shots for Boundary Detection in Videos
Xuekun Jiang, Libiao Jing, Anyi Rao, Linning Xu, Dahua LinTMM 2021
(π¬) A Unified Framework for Shot Type Classification Based on Subject Centric Lens
Anyi Rao, Jiaze Wang, Linning Xu, Xuekun Jiang, Qingqiu Huang, Bolei Zhou, and Dahua LinECCV 2020
(π¬) Online Multi-modal Person Search in Videos
Jiangyue Xia, Anyi Rao, Qingqiu Huang, Linning Xu, Wenjiang Tao, and Dahua LinECCV 2020
(π§βπ€βπ§) Learn to Propagate Reliably on Noisy Affinity Graphs
Lei Yang, Qingqiu Huang, Huaiyi Huang, Linning Xu, and Dahua LinECCV 2020
(π¬) A Local-to-Global Approach to Multi-modal Movie Scene Segmentation
Anyi Rao, Linning Xu, Qingqiu Huang, Bolei Zhou, and Dahua LinCVPR 2020
Professional Experience
- Research Scientist Intern, Meta Reality Lab, Pittsburgh, 2023,2024
- AI for Creative Video Editing and Understanding @CVPR2024, ICCV2023, ECCV2022, ICCV2021
Education
- Ph.D. in Information Engineering at The Chinese University of Hong Kong, 2020-2024
- B.S. in Statistics at The Chinese University of
Hong Kong, Shenzhen, 2016-2020
- GPA: 3.96/4.00, Rank: 1/152
Visiting Experience
- Visiting Program at The Chinese University of Hong Kong, 2019
- Summer Research at Stanford University, 2018
- Summer School at University College London, 2017
Honors and Awards
- Hong Kong PhD Fellowship Scheme (HKPFS)
- China National Scholarships (0.2%), CHINA
- Academic Performace Scholarship, Class A, CUHK(SZ)
- Dean's List Award, CUHK(SZ)
- Undergraduate Research Award, CUHK(SZ)
Teaching
- General Physics (PHY1001)
- Electronic Circuit Design (IERG1810)
- Communication Labs (IERG3820)
Coursework
Click to expand
- Major Courses
- Image Processing and Computer Vision
- Computer Graphics
- Distributed and Parallel Computing
- Computer Networks
- Deep Learning
- Reinforcement Learning
- Probablistic Graphic Models
- Information Theory
- Probability Theory
- Stochastic Processes
- Optimization Theory and Algorithms
- Data and Decision Analytics
- Data Mining
- Time Series
- Matrix Analysis and Computations
- Statistics and Probability
- Nonparametric Statistics
- Statistical Modelling in Financial Markets
- General Courses
- Architecture
- Anatomy and Developmental Biology
- Literary London
- Superhero Movies and Comics
- Cantonese
- In Dialogue with Humanity / Nature
- Modern Chinese History and Culture