Ang Cao

I am a third-year Ph.D. student (2020-) in Computer Science and Engineering (CSE) at the University of Michigan, Ann Arbor, supervised by Prof. Justin Johnson. My research interests lie in the field of Computer Vision and Machine Learning.

I got my M.S. degree(2018-2020) at the University of Michigan, majoring in Signal & Image Processing and Machine Learning in ECE. My Bachelor's degree (2014-2018) was received from the School of Electronic Information at Wuhan University in China.

Email / CV / Google Scholar / Twitter / Github

Research

* indicates joint authorship

	Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models Lukas Höllein , Ang Cao , Andrew Owens, Justin Johnson, Matthias Nießner arXiv, 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 / A generalizable novel view synthesis method with sparse inputs, which gives high-quality synthesis in real-time.
	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.
	Unified Signal Compression Using Generative Adverserial Networks Bowen Liu , Ang Cao , Hun-Seok Kim International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Oral, 2020 arXiv / code / Proposing an ADMM (alternating direction method of multipliers) to compress the signal into quantized latent vectors.

Huge thanks to Jon Barron for the awesome template.