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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:

27,212 просмотров • 10 месяцев назад •via X (Twitter)

Комментарии: 9

Фото профиля Prakhar Kaushik
Prakhar Kaushik10 месяцев назад

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

Фото профиля W. S. Waldo
W. S. Waldo10 месяцев назад

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.

Фото профиля huh ok good point
huh ok good point10 месяцев назад

This rocks :O thanks so much for sharing!

Фото профиля Himanshu Kumar
Himanshu Kumar10 месяцев назад

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

Фото профиля Mitleidstour
Mitleidstour10 месяцев назад

😱

Фото профиля Rich kids of base
Rich kids of base10 месяцев назад

Nice

Фото профиля Yuval Karmi
Yuval Karmi10 месяцев назад

that is cool !!

Фото профиля Cris Lenta
Cris Lenta10 месяцев назад

love this!

Фото профиля Jonathan Korstad
Jonathan Korstad10 месяцев назад

🔥

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