Authors: Kunjun Li, Manoj Gulati, Steven Waskito, Dhairya Shah, Shantanu Chakrabarty, Ambuj Varshney

Published on: February 04, 2024

Impact Score: 8.22

Arxiv code: Arxiv:2402.03390

Summary

• What is new: PixelGen redefines embedded camera systems by using a combination of sensors and transceivers with low-power consumption to capture a broader representation of the environment, including phenomena invisible to conventional cameras.
• Why this is important: Current embedded camera systems only visualize a tiny portion of the world and are energy-intensive, leading to short battery lives.
• What the research proposes: PixelGen combines low-resolution image and infrared vision sensors with transformer-based image and language models to create an energy-efficient platform capable of generating novel representations of the environment.
• Results: PixelGen demonstrated the ability to generate high-definition images using low-power, low-resolution cameras and enabled visualization of unique phenomena such as sound waves on extended reality headsets.

Technical Details

Technological frameworks used: Transformer-based image and language models

Models used: nan

Data used: Data captured from low-resolution image and infrared vision sensors

Potential Impact

Photography, security, and AR/VR industries, as well as companies manufacturing conventional cameras and those developing extended reality content and devices.

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