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I'd be curious to see an example gallery of image generation of the same vector scaled to different magnitudes. That is, 100% cosine similarity, but still hitti

I'd be curious to see an example gallery of image generation of the same vector scaled to different magnitudes. That is, 100% cosine similarity, but still hitting different points of the embedding space. The outcome vectors aren't normalized right? So there could be a hefty amount of difference in this space? Maybe not on concept, but perhaps on image quality?

kuu 4y ago
> The outcome vectors aren't normalized right? I'm not sure about it, maybe they are, it wouldn't be strange > So there could be a hefty amount of difference in this space? Maybe not on concept, but perhaps on image quality? Sure, each text could have more than one image matching the same representation (cosine wise), but maybe the changes wouldn't look much as "concepts" in the image but other features (sharpness, light, noise, actual pixel values, etc) It would be curious to check, definitely