Ang Cao

I am a final-year Ph.D. student (2020-) in Computer Science and Engineering (CSE) at the University of Michigan, Ann Arbor, supervised by Prof. Justin Johnson and Prof. JJ (Jeong Joon) Park. I was very fortunate to be advised by Prof. Andrew Owens. I work on 3D vision.

Before that, I was a M.S. Student at UMich ECE (2018-2020) and I did my Bachelor's degree at Wuhan University in China (2014-2018).

I am actively looking for full-time/postdoc positions in 2025!

Email / CV / Google Scholar / Twitter / Github

Isaac Newton's apple tree, Apple and me, 2023, Cambridge, UK.

Work Experience

Research Scientist Intern, Meta GenAI, London, UK

Work with David Novotny, Andrea Vedaldi , Natalia Neverova

May 2023 - November 2023

Research Scientist Intern, Meta FAIR, MPK, USA

Work with Sasha Sax , Franziska Meier

May 2024 - December 2024

Selected Publications

* indicates joint authorship

	Lightplane: Highly-Scalable Components for Neural 3D Fields Ang Cao, Justin Johnson, Andrea Vedaldi, David Novotny 3DV, 2025 project page/ arXvi/ Docs/ code We investigate "flashattention" for NeRF: a module which can save 4-5 orders of magnitude memory for rendering and feature projecting.
	Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models Lukas Höllein , Ang Cao , Andrew Owens, Justin Johnson, Matthias Nießner ICCV, Oral , 2023 project page/ arXvi/ video/ code We generate meshes of full 3D rooms using text-to-image models.
	HexPlane: A Fast Representation for Dynamic Scenes Ang Cao, Justin Johnson CVPR, 2023 project page/ arXvi/ video/ code An elegant representation for dynamic 3D scenes using six feature planes.
	FWD: Real-time Novel View Synthesis with Forward Warping and Depth Ang Cao, Chris Rockwell, Justin Johnson CVPR, 2022 project page / arXiv / video / code / We show point rasterization can be really fast for sparse view novel view synthesis.
	Inverting and Understanding Object Detectors Ang Cao, Justin Johnson Tech report, 2021 arXiv / code / Revealing intriguing properties of detectors by applying our layout inversion technique.

Huge thanks to Jon Barron for the awesome template.