Brian Chao

I'm a 2nd year PhD student at Stanford University working in the Stanford Computational Imaging Lab, advised by Prof. Gordon Wetzstein. I'm grateful to be supported by the NSF GRFP and the Stanford Graduate Fellowship.

My research is in mainly in computational imaging, displays, and optics, where I focus on the co-design of hardware and algorithms to enable new imaging and display capabilities. I'm also broadly interested in computer graphics, vision, and machine learning.

Prior to coming to Stanford, I recieved a B.S. in Electrical Engineering from National Taiwan University in 2021, where I worked with Prof. Homer H. Chen and Prof. Yu-Chiang Frank Wang.

Email  /  CV  /  Google Scholar  /  Twitter  /  Github

Research

A novel light-efficiency loss function, AI-driven CGH techniques, and camera-in-the-loop calibration greatly improves holographic projector brightness and image quality.

Live demonstration of state-of-the-art image quality, full-color, 3D, holographic VR near-eye displays that supports natural accommodation.

Using coded apertures and a learning-based light field display optimization pipeline to reproduce correct defocus blurs for better accommodation cues.

Leveraging geoemtric consistency in stereo images to synthesize high-quality light fields.

We propose an image-to-image translation algorithm based on generative adversarial networks that rectifies fisheye images without the need of paired training data.

Using optimal transport to infer regulatory relationships predictive of cellular state changes in single-cell temporal and multimodal data.

Website source code from here.