Invention Grant
- Patent Title: Text conditioned image search based on dual-disentangled feature composition
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Application No.: US17160862Application Date: 2021-01-28
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Publication No.: US11874902B2Publication Date: 2024-01-16
- Inventor: Pinkesh Badjatiya , Surgan Jandial , Pranit Chawla , Mausoom Sarkar , Ayush Chopra
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Finch & Maloney PLLC
- Main IPC: G06F18/25
- IPC: G06F18/25 ; G06N3/04 ; G06F16/538 ; G06F16/532 ; G06F16/535 ; G06F18/214

Abstract:
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.
Public/Granted literature
- US20220237406A1 TEXT CONDITIONED IMAGE SEARCH BASED ON DUAL-DISENTANGLED FEATURE COMPOSITION Public/Granted day:2022-07-28
Information query