Remember when AI couldn't spell text or draw a hand with five fingers? We've come a long way.

I would be interested in reading a scientific paper ablating reasons for how AI got hands/fingers right.

@mo_norouzi is this a joke? each hand has like 12 fingers

my intuition for why hands required more scale/data/targeted collection was a combination of (1) hands are often occluded, fingers wrapped or hiding behind each other and (2) they don’t have horizontal symmetry, which partially explains why other things like people with three arms were rarer

@_arohan_ During Uni-1, we unironically had a very very tough hand prompt that i would personally track over time of an image that had 3 hands holding each other (two adult and a baby hand). It was genuinely garbage for 99.99% of training steps and then locked tf in at the end

@_arohan_ 1. More scale 2. More data 3. Better understanding of data mixes

@_sam_sinha_ Is there a log compute plot for this? When do we get to 5 fingers

@mo_norouzi @ideogram excited for the future

@mo_norouzi 🤔

@_sam_sinha_ @_arohan_ Increasing resolution helps a lot too. Detailed descriptions make the task easier. We don’t have a systematic study for this unfortunately. It can make a good research paper with title “What Solved the Finger Count Problem in AI Image Generation”

@mo_norouzi 👌

@mo_norouzi nearly 🫰 made in @ideogram_ai

@mo_norouzi Now it’s just perfect 🤌💎

@jxmnop

@mo_norouzi I loved @ideogram_ai from the first minute

@AmirMushich very realistic skin texture.

@NimEshed @ideogram_ai how can we make it better?

@uncle_orca @ideogram @ideogram_ai lol sure dm me. We don’t pay for marketing though

@mo_norouzi @ideogram you tagged the wrong @ideogram here 😂 hello @ideogram_ai 👋

@mo_norouzi @ideogram @ideogram_ai gonna use this assist to pitch a 5 min chat with you about our reddit marketing services lol. if not, we’ll gladly settle for a follow 🤝