3 ms·
> (1) [Hands] are intricately structured, having many subcomponents which have precise spatial interrelationships over a range of scales; there are a lot of way
by Wowfunhappy 3y ago
> (1) [Hands] are intricately structured, having many subcomponents which have precise spatial interrelationships over a range of scales; there are a lot of ways to make things that are like text/hands except wrong 2) The average person is intimately familiar with said structures, having spent thousands of hours engaging looking at them while performing complex tasks involving a visiospatial feedback loop.
Shouldn't this apply even more strongly to faces versus hands? AI seems to have a significantly easier time with those.
- wongarsu 3y agoFaces are probably vastly over-represented in the training data. Normal people and professional photographers alike love photographing faces, at zoom levels that are quite rare to experience in real life.
- dragonwriter 3y agoFaces don't have lots of repeating similar subcomponents beyond some things that are just two items in bilateral symmetry (teeth are a big exception, and teeth, when visible, can be a problem.) And, actually, faces still, especially outside of closeups of just the face, can be a problem, too, which is why a separate face restoration with a GAN or inpainting pass for faces with the same or different diffusion model is common.
- disconcision 3y agofaces are simpler since unlike hands most of their major constituents are at fixed relative positions to each other. but the flip side is that people are hyper-biased towards attending to facial details, hence why they were basically the first-handled special case