METHOD AND SYSTEM FOR TRAINING IMAGE GENERATION MODEL USING CONTENT INFORMATION
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United States of America
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Mar 6, 2025
app pub date -
Aug 26, 2024
filing date -
Aug 26, 2024
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Abstract
The present disclosure relates to a method of training an image generation model performed by at least one processor. The method of training an image generation model includes receiving a training image in a first domain style, extracting, by the at least one processor, first content information for the training image, generating, by the at least one processor, a plurality of pieces of augmented content information perturbed from the first content information as part of image processing by augmenting the first content information, and training an image generation model to generate a synthetic image in the first domain style from an input image in a second domain style different from the first domain style, wherein the training of the image generation model is based on the training image, the first content information, and the plurality of pieces of augmented content information.
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