Predicting human preference for generated image pairs using HPSv3 [P]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
Hey! I'm looking for ways to predict human preference for a project I'm building. (imagebench.ai)
I've tryed HPSv3, https://github.com/MizzenAI/HPSv3 and made post about it here:
https://imagebench.ai/blog/does-the-score-match-your-eye
It looks ok, but have many limitation as you can see in my post.
My question. Have you tried other human preference model and found one that would be better then HPSv3?
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