Rahul Garg

I am a staff research scientist at Google Research, where I work on computer vision, machine learning and computational photography. I previously worked on Google's AR/VR team, Daydream.

Before Google, I was one of the first employees at Flutter, a startup acquired by Google. I completed my PhD in Computer Science and Engineering at University of Washington. In past life, I spent four wonderful years at IIT Delhi where I got my Bachelors degree and graduated with President's Gold Medal.

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I enjoy building products using Computer Vision technologies that delight users. Some highlights I am proud of:

Synthesize shallow depth of field images on Google Pixel 2 phone using a single lens. Top rated camera phone of 2017 by DxO.

A neural network trained using images from a custom five camera rig predicts better quality depth than stereo algorithms. Powers Portrait Mode on Google Pixel 3 and 3a.

Fuse complementary cues from dual-pixels and dual-cameras for high quality depth on Google Pixel 4.

Low power, real-time hand gesture detection for media control. Mac app rated 4.5+ stars and among Apple's best apps of the year.

Automatically create face and expression aligned movies from photo collections. Unfortunately, Picasa is discontinued but user created movies still survive.

Legacy links: old homepage, class projects, flickr photos, programming contest problems

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