LEVERAGING DATA DISTORTION FOR SYNTHESIZING HIGH-RESOLUTION DATA

LEVERAGING DATA DISTORTION FOR SYNTHESIZING HIGH-RESOLUTION DATA

Synthesizing high-resolution data includes distorting, with a distortion function, a region of interest (ROI) within an input of inferential data. The distorting generates distortion data within which the ROI is enhanced relative to other regions of the distortion data. A generative artificial intel...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Menon, Varun, Liot, Anthony Sylvain Jean-Yves, Sadi, Sajid, Kang, Hyun Jae, Ravichandran, Siddarth, Unnikrishnan, Anil
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Beschreibung
Zusammenfassung:Synthesizing high-resolution data includes distorting, with a distortion function, a region of interest (ROI) within an input of inferential data. The distorting generates distortion data within which the ROI is enhanced relative to other regions of the distortion data. A generative artificial intelligence (AI) model generates synthetic data in response to input of the distortion data. The generative AI model is trained against a distorted ground truth generated using the distortion function to distort one or more regions of interest ROI within source data used to guide the generative AI model in generating the synthetic data.