Invention Grant
- Patent Title: Generating simulated images that enhance socio-demographic diversity
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Application No.: US17485780Application Date: 2021-09-27
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Publication No.: US12001520B2Publication Date: 2024-06-04
- Inventor: Ritwik Sinha , Sridhar Mahadevan , Moumita Sinha , Md Mehrab Tanjim , Krishna Kumar Singh , David Arbour
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06F18/214 ; G06F18/28 ; G06N3/045

Abstract:
Methods and systems disclosed herein relate generally to systems and methods for generating simulated images for enhancing socio-demographic diversity. An image-generating application receives a request that includes a set of target socio-demographic attributes. The set of target socio-demographic attributes can define a gender, age, and/or race of a subject that are non-stereotypical for a particular occupation. The image-generating application applies the a machine-learning model to the set of target socio-demographic attributes. The machine-learning model generates a simulated image depicts a subject having visual characteristics that are defined by the set of target socio-demographic attributes.
Public/Granted literature
- US20230094954A1 GENERATING SIMULATED IMAGES THAT ENHANCE SOCIO-DEMOGRAPHIC DIVERSITY Public/Granted day:2023-03-30
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