Text-guided vector image synthesis
AssigneeAdobe Inc.
InventorsAdrian-Stefan Ungureanu-Contes, Marian Lupascu, Vlad-Constantin Lungu-Stan, Ionuţ Mironica, Vineet Batra
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AssigneeAdobe Inc.
InventorsAdrian-Stefan Ungureanu-Contes, Marian Lupascu, Vlad-Constantin Lungu-Stan, Ionuţ Mironica, Vineet Batra
Estimating the term…
A method, apparatus, non-transitory computer readable medium, and system for training a text-guided vector image synthesis include obtaining training data including a vectorizable image and a caption describing the vectorizable image and generating, using an image generation model, a predicted image with a first level of high frequency detail. Then, the training data and the predicted image are used to tune the image generation model to generate a synthetic vectorizable image based on the caption, where the synthetic vectorizable image has a second level of high frequency detail that is lower than the first level of high frequency detail of the predicted image.
A method of training a machine learning model, the method comprising:
A non-transitory computer readable medium storing code for image processing, the code comprising instructions that, when executed by at least one processor, causes the at least one processor to perform operations comprising:
A system comprising:
Dependencies are inferred from the claim text.