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An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion discuss: We introduce a new approach for generating realistic 3D models with UV maps through a representation termed "Object Images." This approach encapsulates surface geometry, appearance, and patch structures within a 64x64 pixel image, effectively converting complex... 3D shapes into a more manageable 2D format. By doing so, we address the challenges of both geometric and semantic irregularity inherent in polygonal meshes. This method allows us to use image generation models, such as Diffusion Transformers, directly for 3D shape generation. Evaluated on the ABO dataset, our generated shapes with patch structures achieve point cloud FID comparable to recent 3D generative models, while naturally supporting PBR material generation.show more

AK

503,879 subscribers

66,409 просмотров • 1 год назад •via X (Twitter)

Наука и технологии Образование

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Комментарии: 9

Фото профиля Jaakko Lehtinen

Jaakko Lehtinen1 год назад

Classic Geometry Images make a comeback?

Фото профиля Darwin Miller

Darwin Miller1 год назад

SO NO CODE?

Фото профиля Xin Yu (Andy)

Xin Yu (Andy)1 год назад

what? Amazing

Фото профиля Genia Cheskidova

Genia Cheskidova1 год назад

It's a smart idea, I love it.

Фото профиля Nicolas

Nicolas1 год назад

It's a great idea!

Фото профиля Raviv Wolfe

Raviv Wolfe1 год назад

Absolutely fascinating the new ways these tools continue to be applied to problem solving

Фото профиля Power Of AI

Power Of AI1 год назад

So cool 👍🏻👏🏻

Фото профиля Chazz Gold

Chazz Gold1 год назад

I “think” I understand what I just read

Фото профиля 𝕏ingguang Yan

𝕏ingguang Yan1 год назад

Thanks for the post! The code and data is now live at:

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Dreaming Tulpa 🥓👑

270,918 просмотров • 2 лет назад

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Tengfei Wang

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