Our work identifies 12 important aspects in real-world deployments of text-to-image generation models, including alignment, quality, aesthetics, reasoning, bias, and efficiency.
While we have made substantial progress in conducting a holistic evaluation of models across these aspects, there are certain limitations that should be acknowledged in our work.
It is an ongoing area of research, and future studies may uncover additional dimensions that are critical for evaluating image generation models.
We welcome further exploration in this direction to ensure a comprehensive understanding of the field.
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