Photorealistic image stylization using a neural network model
AssigneeNVIDIA Corporation
InventorsYijun Li, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz
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AssigneeNVIDIA Corporation
InventorsYijun Li, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz
Estimating the term…
Photorealistic image stylization concerns transferring style of a reference photo to a content photo with the constraint that the stylized photo should remain photorealistic. Examples of styles include seasons (summer, winter, etc.), weather (sunny, rainy, foggy, etc.), lighting (daytime, nighttime, etc.). A photorealistic image stylization process includes a stylization step and a smoothing step. The stylization step transfers the style of the reference photo to the content photo. A photo style transfer neural network model receives a photorealistic content image and a photorealistic style image and generates an intermediate stylized photorealistic image that includes the content of the content image modified according to the style image. A smoothing function receives the intermediate stylized photorealistic image and pixel similarity data and generates the stylized photorealistic image, ensuring spatially consistent stylizations.
A computer-implemented method, comprising:
A system, comprising a processor configured to implement a photo style transfer neural network model comprising an encoder portion and a decoder portion configured to:
A non-transitory, computer-readable storage medium storing instructions that, when executed by a processing unit, cause the processing unit to:
Dependencies are inferred from the claim text.