Hi! I’m Linning, a PhD student at CUHK, Multimedia Lab (MMLab). Before joining MMLab, I had a great pleasure working with great minds at CUHK(SZ) on Statistics, Machine Learning, and Operation Research. My current research topics include AI for Film (🎬) and City (🏙), with a recent focus on Neural Rendering and innovative Scene Representation for large-scale scenes and daily living spaces.

✈️ Check our cool LandMark project and city-super series :)

📰 News

a box of sweet chocolates (click to expand :)

2024-02: One paper got accepted to CVPR2024🐱
2023-10: We are organizing the Third Workshop of CVEU @ICCV 2023🇫🇷
2023-08: One paper got accepted to SIGGRAPH ASIA 2023🕶
2023-07: Two papers got accepted to ICCV2023💕
2023-02 🚀 2023-06: Internship at Meta Reality Labs, Pittsburgh👓
2023-02: Two papers got accepted to CVPR2023🗽
2022-07: One paper got accepted to ECCV2022🌏
2022-03: One paper got accepted to SIGGRAPH'2022🧑🏻‍🎨
2022-01: One paper got accepted to TMM2022📹
2021-07: One paper got accepted to ICCV2021🥥
2021-06: One paper got accepted to TMM2021🍃
2020-07: Three papers got accepted to ECCV2020🐈
2020-07: One paper got accepted to MLSP2020🐰
2020-02: One paper got accepted to CVPR2020🦄
2019-07: Got admitted to the PhD program at CUHK MMLab (≧∇≦)ﾉ!!!

📚 Publications

(🏙) 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 Ji

NeurIPS 2024

(🏙) GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction

Mulin Yu*, Tao Lu*, Linning Xu, Lihan Jiang, Yuanbo Xiangli, Bo Dai

NeurIPS 2024

(🏙) 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

(🏙) 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 Dai

arxiv preprint

(🏙) Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering

Tao Lu*, Mulin Yu*, Linning Xu, Yuanbo Xiangli, Limin Wang, Dahua Lin, Bo Dai

CVPR 2024

(🏡) VR-NeRF: High-Fidelity Virtualized Walkable Spaces

Linning Xu, Vasu Agrawal, William Laney, Tony Garcia, Aayush Bansal, Changil Kim, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder, Aljaž Božič Dahua Lin, Michael Zollhoefer, Christian Richardt

SIGGRAPH ASIA 2023

(🏙) 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 Dai

ICCV 2023

(🏙) AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation

Yuanbo Xiangli*, Linning Xu*, Xingang Pan, Nanxuan Zhao, Bo Dai, and Dahua Lin

ICCV 2023

(🏙) 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 Lin

CVPR 2023

(🏙) 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 Lin

CVPR 2023

(🎬) 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 Dai

SIGGRAPH 2023 Poster

(🏙) 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 Lin

ECCV 2022

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

🦄 Linning Xu