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Can we synthesize 3D human-scene interactions without learning from any 3D data? Yes! Check out Lei Li's GenZI, a novel zero-shot approach to generating 3D interactions by distilling priors from large vision-language models.

106,850 views • 2 years ago •via X (Twitter)

10 Comments

Michael Black's profile picture
Michael Black2 years ago

@craigleili Very creative! Love it.

Dan Casas's profile picture
Dan Casas2 years ago

@craigleili Great idea and super well presented. Love it!

ScottieFox's profile picture
ScottieFox2 years ago

@craigleili There must exist a vector for the opposite as well. Since the paper clearly shows an inpainting mask of human 2D interactions, then one could assume a "place this actor in a scene" - via the same text encoding.

Hongwei Yi's profile picture
Hongwei Yi2 years ago

@craigleili The idea and the results are super nice!!! Can't wait to use.

Thiemo Alldieck's profile picture
Thiemo Alldieck2 years ago

@craigleili creative idea!

Chenfanfu Jiang's profile picture
Chenfanfu Jiang2 years ago

@craigleili Inspiring

Dávid Komorowicz's profile picture
Dávid Komorowicz2 years ago

@craigleili Oh no, don't sit on the Guzheng😰

Chris Han's profile picture
Chris Han2 years ago

@craigleili @memdotai mem it

Leo's profile picture
Leo2 years ago

@craigleili so cool

Naureen Mahmood's profile picture
Naureen Mahmood2 years ago

@craigleili I really like the method presented here, not to mention the lovely video! Very nice work.

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