About

I am a Research Scientist at Google, working on novel view synthesis for the Project Beam team. My research interests include long context modeling, efficient transformer, 3D vision, generative models, and computational photography.
Before joining Google, I was a Ph.D. student at the University of Washington, where I worked with Steven M. Seitz, Jason Lawrence, and Ricardo Martin Brualla. I have also had the privilege of interning at Google, Disney Research Zurich, and Facebook. I hold a B.S. from Shanghai Jiao Tong University, where I worked with Hongtao Lu, and I also visited the National Univerity of Singapore collaborating with Shuicheng Yan.

xuluo at google dot com

  • 601 N 34th St,

  • Seattle, WA 98103

Education

University of Washington

2015-2021 Ph.D. student

Shanghai Jiao Tong University

2011-2015 B.S. in Computer Science

Publication

LVT: Large-Scale Scene Reconstruction via Local View Transformers

SIGGRAPH Asia 2025

Tooba Imtiaz*, Lucy Chai*, Kathryn Heal, Xuan Luo, Jungyeon Park, Jennifer Dy, John Flynn

Scaling Transformer-Based Novel View Synthesis with Token Disentanglement and Synthetic Data

ICCV 2025

Nithin Gopalakrishnan Nair*, Srinivas Kaza*, Xuan Luo, Vishal M. Patel, Stephen Lombardi, Jungyeon Park

Learning Efficient Fuse-and-Refine for Feed-Forward 3D Gaussian Splatting

NeurIPS 2025

Yiming Wang, Lucy Chai, Xuan Luo, Michael Niemeyer, Manuel Lagunas, Stephen Lombardi, Siyu Tang, Tiancheng Sun

Quark: Real-time, High-resolution, and General Neural View Synthesis

SIGGRAPH ASIA 2024

🏆 Best Paper Award

John Flynn*, Michael Broxton*, Lukas Murmann*, Lucy Chai, Matthew DuVall, Clément Godard, Kathryn Heal, Srinivas Kaza, Stephen Lombardi, Xuan Luo, Supreeth Achar, Kira Prabhu, Tiancheng Sun, Lynn Tsai, Ryan Overbeck

StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation

CVPR 2022

R. Or-El, Xuan Luo, M. Shan, E. Shechtman, J. J. Park, I. Kemelmacher-Shlizerman

Selected for oral presentation
Project Page Paper Code

Consistent Video Depth Estimation

SIGGRAPH 2020

Xuan Luo, Jia-Bin Huang, Richard Szeliski, Kevin Matzen, Johannes Kopf

Project Page Video Paper Code

Pepper's Cone: An Inexpensive Do-It-Yourself 3D Display

UIST 2017

Xuan Luo, Jason Lawrence, Steven M. Seitz

Project Page Video Talk Paper

Purine: A graph-based deep learning framework

ICLR 2015

Min Lin, Shuo Li, Xuan Luo

ppt Paper

Fast Non-local Stereo Matching based on Hierarchical Disparity Prediction

Xuejiao Bai, Xuan Luo, Shuo Li, Hongtao Lu, Sei-ichiro Kamata

Demo videos: KITTI: MST, ST, RT , WASEDA: MST, ST, RT

Paper

Adaptive Stereo Matching via Loop-erased Random Walk

ICIP 2014

Xuejiao Bai, Xuan Luo, Shuo Li, Hongtao Lu

Paper

Invited Talks

Consistent Video Depth Estimation

GAMES: Graphics And Mixed Environment Seminar (12/24/2020)

Webinar Post / Slides ( PDF / Keynote )

水淹厨房的魔法:几何一致的视频深度算法

AAA校友2020云上会 (05/16/2020)

Webinar Summary (知乎 / 伯禹人工智能学院)