Conditioned image generation
AssigneeShutterstock, Inc.
InventorsRaúl Gómez Bruballa, Alessandra Sala
Life of this patent
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Abstract
A method for image generation includes receiving a training data that includes training images, image captions each corresponding to one of the training images, and contextual features each associated with one or more of the training images. The method further includes performing a training process to condition a generative image model using the training images, the image captions, and the contextual features, resulting in a conditioned model that generates images conditioned to both the image captions and the contextual features.
Claims20
A method for image generation, comprising:
- receiving a training data comprising a plurality of training images, a plurality of image captions each corresponding to one of the plurality of training images, and a plurality of contextual features each associated with one or more of the plurality of training images;
- and
- performing a training process to condition a generative image model using the plurality of training images, the plurality of image captions, and the plurality of contextual features, resulting in a conditioned model that generates images conditioned to both the plurality of image captions and the plurality of contextual features.
A non-transitory computer-readable medium storing a program for image generation, which when executed by a computer, configures the computer to:
- receive a training data comprising a plurality of training images, a plurality of image captions each corresponding to one of the plurality of training images, and a plurality of contextual features each associated with one or more of the plurality of training images;
- and
- perform a training process to condition a generative image model using the plurality of training images, the plurality of image captions, and the plurality of contextual features, resulting in a conditioned model that generates images conditioned to both the plurality of image captions and the plurality of contextual features.
A system for image generation, comprising:
- a processor;
- and
- a non-transitory computer readable medium storing a set of instructions, which when executed by the processor, configure the system to:
- receive a training data comprising a plurality of training images, a plurality of image captions each corresponding to one of the plurality of training images, and a plurality of contextual features each associated with one or more of the plurality of training images;
- and
- perform a training process to condition a generative image model using the plurality of training images, the plurality of image captions, and the plurality of contextual features, resulting in a conditioned model that generates images conditioned to both the plurality of image captions and the plurality of contextual features.
Dependencies are inferred from the claim text.