csyxwei/ELITE

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ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation Method Details Given an image indicates the target concept (usually an object), we propose a learning-based encoder ELITE to encode the visual concept into the textual embeddings, which can be further flexibly composed into new scenes. It consists of two modules: (a) a global mapping network is first trained to encode a concept image into multiple textual word embeddings, where one primary word (w0) for...