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🚀Create complex, modular 3D assets and scenes.🚀 Introducing #MoCA (Mixture-of-Components Attention), a new sparse attention method for compositional 3D generation. It scales to *many * components. paper: code:

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Tengfei Wang

3,688 subscribers

27,212 görüntüleme • 10 ay önce •via X (Twitter)

#MoCA
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Prakhar Kaushik profil fotoğrafı
Prakhar Kaushik10 ay önce

Great visuals, but impossible to validate scientifically. This is the ~10th paper from this team on the same closed-source dataset. Without public splits, we can't even confirm the eval data isn't in training. The real 'novelty' here seems to be the private dataset, not the model

W. S. Waldo profil fotoğrafı
W. S. Waldo10 ay önce

There are already several tools out there for generating meshes from 3D parts and they all produce similar results. What's needed isn't another approach to part generation, but an improvement in the fidelity and accuracy of the parts generated.

huh ok good point profil fotoğrafı
huh ok good point10 ay önce

This rocks :O thanks so much for sharing!

Himanshu Kumar profil fotoğrafı
Himanshu Kumar10 ay önce

Oh wow, that's some serious stuff, Tengfei! This MoCA sounds quite promising, no?

Mitleidstour profil fotoğrafı
Mitleidstour10 ay önce

😱

Rich kids of base profil fotoğrafı
Rich kids of base10 ay önce

Nice

Yuval Karmi profil fotoğrafı
Yuval Karmi10 ay önce

that is cool !!

Cris Lenta profil fotoğrafı
Cris Lenta10 ay önce

love this!

Jonathan Korstad profil fotoğrafı
Jonathan Korstad10 ay önce

🔥

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