Media enhancement using discriminative and generative models with feedback

Number of patents in Portfolio can not be more than 2000

United States of America

PATENT NO 12136189
APP PUB NO 20220253990A1
SERIAL NO

17172744

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Abstract

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The present disclosure describes systems and methods for image enhancement. Embodiments of the present disclosure provide an image enhancement system with a feedback mechanism that provides quantifiable image enhancement information. An image enhancement system may include a discriminator network that determines the quality of the media object. In cases where the discriminator network determines that the media object has a low image quality score (e.g., an image quality score below a quality threshold), the image enhancement system may perform enhancement on the media object using an enhancement network (e.g., using an enhancement network that includes a generative neural network or a generative adversarial network (GAN) model). The discriminator network may then generate an enhancement score for the enhanced media object that may be provided to the user as a feedback mechanism (e.g., where the enhancement score generated by the discriminator network quantifies the enhancement performed by the enhancement network).

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Patent Owner(s)

Patent OwnerAddress
ADOBE INC345 PARK AVENUE SAN JOSE CA 95110-2704

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Faieta, Baldo San Francisco, US 59 852
Kumar, Akhilesh San Jose, US 75 1043
Lin, Zhe Bellevue, US 388 5022

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