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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

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66,412 görüntüleme • 1 yıl önce •via X (Twitter)

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Jaakko Lehtinen profil fotoğrafı

Jaakko Lehtinen1 yıl önce

Classic Geometry Images make a comeback?

Darwin Miller profil fotoğrafı

Darwin Miller1 yıl önce

SO NO CODE?

Xin Yu (Andy) profil fotoğrafı

Xin Yu (Andy)1 yıl önce

what? Amazing

Genia Cheskidova profil fotoğrafı

Genia Cheskidova1 yıl önce

It's a smart idea, I love it.

Nicolas profil fotoğrafı

Nicolas1 yıl önce

It's a great idea!

Raviv Wolfe profil fotoğrafı

Raviv Wolfe1 yıl önce

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

Power Of AI profil fotoğrafı

Power Of AI1 yıl önce

So cool 👍🏻👏🏻

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I “think” I understand what I just read

𝕏ingguang Yan profil fotoğrafı

𝕏ingguang Yan1 yıl önce

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

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