Text conditioned image search based on dual-disentangled feature composition

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United States of America Patent

PATENT NO 11874902
APP PUB NO 20220237406A1
SERIAL NO

17160862

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Abstract

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Techniques are disclosed for text conditioned image searching. A methodology implementing the techniques according to an embodiment includes receiving a source image and a text query defining a target image attribute. The method also includes decomposing the source image into image content and style feature vectors and decomposing the text query into text content and style feature vectors, wherein image style is descriptive of image content and text style is descriptive of text content. The method further includes composing a global content feature vector based on the text content feature vector and the image content feature vector and composing a global style feature vector based on the text style feature vector and the image style feature vector. The method further includes identifying a target image that relates to the global content feature vector and the global style feature vector so that the target image relates to the target image attribute.

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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
Badjatiya, Pinkesh Ujjain, IN 10 6
Chawla, Pranit Delhi, IN 2 2
Chopra, Ayush Cambridge, US 16 49
Jandial, Surgan Jammu, IN 8 20
Sarkar, Mausoom New Delhi, IN 28 176

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