andreasjansson / flash-eval

Suite of models to evaluate the image quality of text-to-image models with respect to their input prompts.

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A suite of models to evaluate the image quality of text-to-image models with respect to their input prompts.

Github repo: https://github.com/thu-nics/FlashEval

Models

CLIP

  • Measures text-image alignment using CLIP. It evaluates how well the image matches the given text prompt.
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BLIP

  • Evaluates text-to-image alignment using BLIP, assessing how well the image matches the text description.
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Aesthetic

  • Assesses the aesthetic quality of an image, predicting how visually appealing it is to humans.
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ImageReward

  • A human preference model that predicts which images humans would prefer based on the given prompt.
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PickScore

  • A human preference model that predicts which images humans would prefer based on the given prompt.
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