Pakistan Tehreek-e-Insaf (PTI) announced a series of protests from Friday
The 2D-to-3D photo technique has been available as a "photos feature" on Facebook since late 2018.
To refine the new system, the researchers trained a convolutional neural network (CNN) on millions of pairs of public 3D images and their accompanying depth maps and leveraged mobile-optimization techniques developed by Facebook AI.
The framework also incorporates texture inpainting and geometry capture of the 2D input image to convert it into 3D, resulting in images that are more active and lively.
Each automated step that converts a user's 2D photo, directly from their mobile device, is optimized to run on a variety of makes and models and is able to work with a device's limited memory and data-transfer capabilities.
"Users get instant gratification, as the 3D results are literally generated in a matter of seconds," said the team.
Researchers at Facebook have been working toward new and inventive ways to create high quality, immersive 3D experiences, pushing the envelope in computer vision, graphics, and machine learning.
In future work, the team is investigating machine-learning methods that enable high-quality depth estimation for videos taken with mobile devices.
The Facebook researchers are set to demonstrate their system at SIGGRAPH 2020 conference in August.
Pakistan Tehreek-e-Insaf (PTI) announced a series of protests from Friday
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