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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

505,068 subscribers

66,412 Aufrufe • vor 1 Jahr •via X (Twitter)

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9 Kommentare

Profilbild von Jaakko Lehtinen

Jaakko Lehtinenvor 1 Jahr

Classic Geometry Images make a comeback?

Profilbild von Darwin Miller

Darwin Millervor 1 Jahr

SO NO CODE?

Profilbild von Xin Yu (Andy)

Xin Yu (Andy)vor 1 Jahr

what? Amazing

Profilbild von Genia Cheskidova

Genia Cheskidovavor 1 Jahr

It's a smart idea, I love it.

Profilbild von Nicolas

Nicolasvor 1 Jahr

It's a great idea!

Profilbild von Raviv Wolfe

Raviv Wolfevor 1 Jahr

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

Profilbild von Power Of AI

Power Of AIvor 1 Jahr

So cool 👍🏻👏🏻

Profilbild von Chazz Gold

Chazz Goldvor 1 Jahr

I “think” I understand what I just read

Profilbild von 𝕏ingguang Yan

𝕏ingguang Yanvor 1 Jahr

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

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