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🌟 Create anything in 3D! 🌟 Introducing CAT3D: a new method that generates high-fidelity 3D scenes from any number of real or generated images in one minute, powered by multi-view diffusion models. w/ lovely coauthors Aleksander Holynski, Ben Poole and an amazing team!

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Ruiqi Gao

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152,867 görüntüleme • 2 yıl önce •via X (Twitter)

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Website: Paper: Also, check out our gallery for hundreds of diverse generated 3D scenes!

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CAT3D uses a multi-view diffusion model to synthesize a large set of consistent novel views from the input image(s). These views are then used to reconstruct a detailed 3D scene using robust reconstruction methods.

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CAT3D can create entire 3D scenes in as little as one minute! ⚡ Plus, it achieves state-of-the-art performance for few-view 3D reconstruction.

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Big shout out to the incredible team: @holynski_ @philipphenzler @ArthurBrussee @rmbrualla @_pratul_ @jon_barron @poolio

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We are also sincerely thankful to @shlomifruchter, @sirbayes, @babaeizadeh, @Han_Zhang_ and Amir Hertz for training the base text-to-image model that supports our work!

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@holynski_ @poolio Congrats, great work!

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@holynski_ @poolio Thanks Durk! ☺️

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@holynski_ @poolio So cool! @Gradio demo when ;)

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@holynski_ @poolio Amazing results!!! Congrats!

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@holynski_ @poolio Congrats! Amazing results!

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Check out CAT3D! Image(s)-to-3D in 1 minute! Given any number of real or generated images, CAT3D uses a multi-view diffusion prior to create consistent novel views. These views are used to reconstruct a 3D scene using NeRF/3DGS.
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Check out CAT3D! Image(s)-to-3D in 1 minute! Given any number of real or generated images, CAT3D uses a multi-view diffusion prior to create consistent novel views. These views are used to reconstruct a 3D scene using NeRF/3DGS.

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Excited to share ReconFusion! 3D reconstruction of real-world scenes from only a few photos, powered by diffusion priors: w/ amazing team Rundi Wu Ben Mildenhall Philipp Henzler Keunhong Park Ruiqi Gao Daniel Watson Pratul Srinivasan Dor Verbin Jon Barron Ben Poole
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