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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 Aufrufe • vor 2 Jahren •via X (Twitter)

10 Kommentare

Profilbild von Michael Black
Michael Blackvor 2 Jahren

@craigleili Very creative! Love it.

Profilbild von Dan Casas
Dan Casasvor 2 Jahren

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

Profilbild von ScottieFox
ScottieFoxvor 2 Jahren

@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.

Profilbild von Hongwei Yi
Hongwei Yivor 2 Jahren

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

Profilbild von Thiemo Alldieck
Thiemo Alldieckvor 2 Jahren

@craigleili creative idea!

Profilbild von Chenfanfu Jiang
Chenfanfu Jiangvor 2 Jahren

@craigleili Inspiring

Profilbild von Dávid Komorowicz
Dávid Komorowiczvor 2 Jahren

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

Profilbild von Chris Han
Chris Hanvor 2 Jahren

@craigleili @memdotai mem it

Profilbild von Leo
Leovor 2 Jahren

@craigleili so cool

Profilbild von Naureen Mahmood
Naureen Mahmoodvor 2 Jahren

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

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