Generating masked regions of an image using a predicted user intent
AssigneeAdobe Inc.
InventorsBrian PRICE, Yifei FAN, Joshua MYERS-DEAN
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AssigneeAdobe Inc.
InventorsBrian PRICE, Yifei FAN, Joshua MYERS-DEAN
Estimating the term…
Embodiments are disclosed for predicting a user's intent to generate a masked region of an image based on a user gesture. The method may include receiving a user interaction corresponding to a region in an image. The user interaction is used to select the object in the image. The method further includes generating a feature map using a first machine learning model and the user interaction, where the feature map includes at least one feature corresponding to a mode type. The mode type is an intended operation of a user. Lastly, the method includes generating a mask of the object in the image using a second machine learning model, wherein the mask is generated responsive to the mode type.
A method comprising:
A system comprising:
A computer-readable medium storing instructions that, when executed by a processor, cause the processor to:
The computer-readable medium of 17, wherein the decoder is one decoder of a plurality of decoders, and the decoder of the plurality of decoders is triggered based on the gesture type, wherein the plurality of decoders includes a click decoder, a lasso decoder, a bounding box decoder, and a stroke decoder.
Dependencies are inferred from the claim text.