Jeffrey Hu

Hi, I'm Jeffrey! I'm a first year PhD student at the University of Cambridge supervised by Professor Ayush Tewari. Previously, I was a research engineer at the GraphDeco group in INRIA with Professor George Drettakis. I was also an active contributor to gsplat.

Before this, I worked on autonomous vehicles and building the perception system for autonomous trains at Parallel Systems in Los Angeles. I received my undergraduate and Master's degrees in Electrical Engineering and Computer Science at MIT with Professor Antonio Torralba.

Research

I am deeply interested in 3D computer vision, computer graphics, and differentiable rendering. I want to capture and build generative models for the real world.

Rendering produced with the gsplat Gaussian splatting library

gsplat: An Open-Source Library for Gaussian Splatting

Vickie Ye, Ruilong Li, Justin Kerr, Matias Turkulainen, Brent Yi, Zhuoyang Pan, Otto Seiskari, Jianbo Ye, Jeffrey Hu, Matthew Tancik, Angjoo Kanazawa
JMLR, 2024

project page arXiv code

gsplat is an open-source library designed for training and developing Gaussian Splatting methods. It features a front-end with Python bindings compatible with the PyTorch library and a back-end with highly optimized CUDA kernels. gsplat offers numerous features that enhance the optimization of Gaussian Splatting models, which include optimization improvements for speed, memory, and convergence times. Experimental results demonstrate that gsplat achieves up to 10% less training time and 4x less memory than the original implementation. Utilized in several research projects, gsplat is actively maintained on GitHub. Source code is available at this https URL under Apache License 2.0. We welcome contributions from the open-source community.