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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.

Angela Dai

9,433 subscribers

106,850 次观看 • 2 年前 •via X (Twitter)

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10 条评论

Michael Black 的头像

Michael Black2 年前

@craigleili Very creative! Love it.

Dan Casas 的头像

Dan Casas2 年前

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

ScottieFox 的头像

ScottieFox2 年前

@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 的头像

Hongwei Yi2 年前

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

Thiemo Alldieck 的头像

Thiemo Alldieck2 年前

@craigleili creative idea!

Chenfanfu Jiang 的头像

Chenfanfu Jiang2 年前

@craigleili Inspiring

Dávid Komorowicz 的头像

Dávid Komorowicz2 年前

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

Chris Han 的头像

Chris Han2 年前

@craigleili @memdotai mem it

Leo 的头像

Leo2 年前

@craigleili so cool

Naureen Mahmood 的头像

Naureen Mahmood2 年前

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

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