Text-to-image personalization

Image generation algorithm

Text-to-Image personalization is a task in deep learning for computer graphics that augments pre-trained text-to-image generative models. In this task, a generative model that was trained on large-scale data, is adapted such that it can generate images of novel, user-provided concepts. These concepts are typically unseen during training, and may represent specific objects or more abstract categories.

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