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Meta released SAM3 a model to reconstruct objects from segmented images. I tried it and here are 4 things I found out - The generation is incredibly fast when compared with other 3D GenAI models - The models generated are not meshes but Gaussian Splatting. I was surprised that...

32,447 次观看 • 10 个月前 •via X (Twitter)

9 条评论

weiyaow 的头像
weiyaow10 个月前

Thanks for trying out the model! In the demo we supported Gaussian Splatting, but the model can output mesh in our open-source release here:

Andy Baker 的头像
Andy Baker10 个月前

You can download the ply files via the browser console's network tab. Just grab the biggest files and rename

softyoda 的头像
softyoda10 个月前

Ah nice

Patrick Gerard 的头像
Patrick Gerard10 个月前

@CreatedByJannn

Tom Laroc / Hi-Fi-Ai 的头像
Tom Laroc / Hi-Fi-Ai10 个月前

@artist_jodi

Sven Viking 的头像
Sven Viking10 个月前

Very good for visualising potential furniture configurations. Very bad for avoiding stubbed toes :).

Justin Chen 的头像
Justin Chen10 个月前

Is it using GS? From my experiments with it, looks like it's using some other generative modeling. I would give the same image multiple times and click on the same objects and each time I would get something different. Some were close, but most looked completely incorrect as in it generated completely different geometries each time.

Dick Applehead 的头像
Dick Applehead10 个月前

And that's why it's completely useless. wake me when it makes geometry with correct topology and uvs

Atelier Elysara 的头像
Atelier Elysara10 个月前

do you happen to know any splatting wizards who ciuld lend me their brains for a bit? got some ideas for how to make this kind of tech useful for games and situations where you dont have a photo to start from but i don't have the knowhow to know if its viable

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