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Apple's SHARP: Photorealistic 3D View Synthesis from a Single Image in Under a Second

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SG-

5mo ago· 3 min readenCode

Summary

Apple researchers present SHARP, a neural network approach for photorealistic view synthesis from a single image. The method regresses parameters of a 3D Gaussian representation of a scene in under a second via a single feedforward pass through a neural network on a standard GPU. The project accompanies a research paper by Lars Mescheder and colleagues.

Key quotes

· 3 pulled
We present SHARP, an approach to photorealistic view synthesis from a single image.
Given a single photograph, SHARP regresses the parameters of a 3D Gaussian representation of the depicted scene.
This is done in less than a second on a standard GPU via a single feedforward pass through a neural network.
Snippet from the RSS feed
Sharp Monocular View Synthesis in Less Than a Second - apple/ml-sharp

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