Apple's SHARP: Photorealistic View Synthesis from Single Images in Under a Second
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Summary
Apple researchers present SHARP, a novel approach for photorealistic view synthesis from a single image. The method uses a 3D Gaussian representation to generate novel views in under a second, achieving state-of-the-art results on benchmark datasets. The approach combines a 2D diffusion model with a 3D Gaussian representation to create high-quality, sharp novel views from single photographs.
Key quotes
· 4 pulledWe 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 scene.
SHARP synthesizes novel views in less than a second, achieving state-of-the-art results on benchmark datasets.
The approach combines a 2D diffusion model with a 3D Gaussian representation to generate sharp novel views.
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