Tao Lu

I'm a postdoc at Brown University, advised by Srinath Sridhar. I received my PhD from Nanjing University in 2023, supervised by Prof. Gangshan Wu and Prof. Limin Wang. My research focuses on perceiving and understanding the 3D world through both semantic and geometric approaches. Before coming to Brown, I was engaged in research on general and user-friendly novel view rendering methods at the Shanghai AI Lab. My long-term goal is to integrate these insights and methods to develop a more powerful 3D content creation system to facilitate the interaction in a virtual world.

I am currently seeking opportunities for research scientist positions in industry or academia. Feel free to reach out if you are interested in collaboration or have exciting opportunities to discuss!

Publications

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, and Bo Dai

arxiv, 2025

Project page arXiv Code

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, and Bo Dai

CVPR, 2025

Project page arXiv Code

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, and Bo Dai

CVPR, 2025 (workshop)

Project page arXiv Code

Art3D: Training-Free 3D Generation from Flat-Colored Illustration

Xiaoyan Cong, Jiayi Shen, Zekun Li, Rao Fu, Tao Lu, Srinath Sridhar

CVPR, 2025 (workshop)

Project page arXiv

Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians

Kerui Ren*, Lihan Jiang*, Tao Lu, Mulin Yu, Linning Xu and Bo Dai†

TPAMI, to appear

Project page arXiv Code

MixRF: Universal Mixed Radiance Fields with Points and Rays Aggregation

Haiyang Bai, Tao Lu, Jiaqi Zhu, Wei Huang, Chang Gou, Jie Guo, Lijun Chen, Yanwen Guo

TVCG

Paper

GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction

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

NeurIPS, 2024

Project page arXiv Code

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

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

CVPR, 2024, highlight

Project page arXiv Code

LinK: Linear Kernel for LiDAR-based 3D Perception

Tao Lu, Xiang Ding, Haisong Liu, Gangshan Wu and Limin Wang†

CVPR, 2023

Conference arXiv Code

Learning Optical Flow and Scene Flow with Bidirectional Camera-LiDAR Fusion

Haisong Liu, Tao Lu, YihuiXu, Jia Liu, and Limin Wang†

TPAMI, 2023, to appear

arXiv Code

APP-Net: Auxiliary-Point-Based Push and Pull Operations for Efficient Point Cloud Recognition

Tao Lu, Chunxu Liu, Youxin Chen, Gangshan Wu and Limin Wang†

TIP, 2023

arXiv Code

SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

Haisong Liu, Teng Yao, Tao Lu, Haiguang Wang, Limin Wang†

ICCV, 2023

Conference arXiv Code

CamLiFlow: Bidirectional camera-LiDAR fusion for joint optical flow and scene flow estimation

Haisong Liu, Tao Lu, Yihui Xu, Jia Liu, Wenjie Li, Lijun Chen

CVPR, 2022, (Oral)

Conference arXiv Code

CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation

Tao Lu, Limin Wang† and Gangshan Wu

CVPR, 2021

Conference Code

Activities

Reviewer: CVPR, ICCV, ECCV, NeurIPS, SIGGRAPH Asia, AAAI, TPAMI, IJCV...