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.
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Research * indicates joint authorship
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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.
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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.
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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.
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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.
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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.
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