GUIDED CONTEXTUAL ATTENTION MAP FOR INPAINTING TASKS

GUIDED CONTEXTUAL ATTENTION MAP FOR INPAINTING TASKS

Systems and methods for augmenting data can leverage one or more machine-learned models and contextual attention data to provide more realistic and efficient data augmentation. For example, systems and methods for inpainting can leverage a machine-learned model to generate predicted contextual atten...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: WADHWA, Neal, KNAAN, Yael, Pritch, KANAZAWA, Noritsugu, ABERMAN, Kfir
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Beschreibung
Zusammenfassung:Systems and methods for augmenting data can leverage one or more machine-learned models and contextual attention data to provide more realistic and efficient data augmentation. For example, systems and methods for inpainting can leverage a machine-learned model to generate predicted contextual attention data and blend the predicted contextual attention data with obtained contextual attention data to determine replacement data for augmenting an image to replace one or more occlusions. The obtained contextual attention data can include user-guided contextual attention.