Yep, makes sense... Something like 20 years ago I experimented with encoder/decoder models for lossy images compression and it worked very well, but it's a completely different domain indeed, where there aren't single local concentration of entropy that messes with the whole result.
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Yep, makes sense... Something like 20 years ago I experimented with encoder/decoder models for lossy images compression and it worked very well, but it's a completely different domain indeed, where there aren't single local concentration of entropy that messes with the whole result.
I guess text in images would be similar, and is indeed where image generation models struggle to get the details right.
E.g., making a greeting card with somebody's name spelled correctly.