Witness the up-close beauty of blood clotting in action with these stunning images of fibrin formation. We tried to capture the intricate interplay between red blood cells and platelets in a mesmerizing way.
#ScienceArt#MedicalAnimation#MedicalFilmmaking
Why does generative AI struggle with hands?
It is not a mystical Bermuda Triangle in the latent space. There're compelling reasons:
1. Data size (duh). Face pics are much more common than hand pics. Even when the whole body is shown, hands tend to occupy much smaller pixel real estate.
2. Lack of embodied understanding. This is a much deeper issue: AIs never use hands in the physical world, so they have to infer how hands look in various poses by superficial pattern matching. That's why AI can't even get the number of fingers correct, because hands are frequently occluded by tools or itself. More technically, diffusion doesn't have a working world model @ylecun
3. Low tolerance. It's fine to mess up the texture a little bit, you won't even notice. But getting hands wrong easily triggers the uncanny valley reaction.
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These shots aren't real.
This next-gen imaging tech is SO POWERFUL and yet... most people still don't get it.
So I made a video to give you EVERYTHING you need to know about why #NeuralRadianceFields are a big deal.
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#NeRF@LumaLabsAI
AI fashion show using dall-e to generate hundreds of outfits of the day after tomorrow. An interesting way to brainstorm costume and fashion design ideas.
Collab with @shyamagolden@OpenAI#dalle2#dalle#aiart