Sogand Salehi
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README.md
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*Tuning-free framework for personalized image generation*
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[`Website`](https://viper.epfl.ch) | [`GitHub`](https://github.com/EPFL-VILAB/ViPer) | [`BibTeX`](#citation)
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We introduce **ViPer**, a method that personalizes the output of generative models to align with different users’ visual preferences for the same prompt. This is done via a one-time capture of the user’s general preferences and conditioning the generative model on them without the need for engineering detailed prompts.
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*Tuning-free framework for personalized image generation*
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[`Website`](https://viper.epfl.ch) | [`Paper`](https://arxiv.org/abs/2407.17365) | [`GitHub`](https://github.com/EPFL-VILAB/ViPer) | [`BibTeX`](#citation)
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We introduce **ViPer**, a method that personalizes the output of generative models to align with different users’ visual preferences for the same prompt. This is done via a one-time capture of the user’s general preferences and conditioning the generative model on them without the need for engineering detailed prompts.
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