Beyond the Prompt: Recovering Hidden Concepts in Text-to-Image Models
EmbGA is presented, an embedding-space genetic algorithm that recovers concepts present in a set of images but absent from the prompt that generated them, and runs much faster than language-model-guided search.
Zheng-Feng Zheng, Ming-Hong Fang
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