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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!

153,337 次观看 • 2 年前 •via X (Twitter)

10 条评论

Ruiqi Gao 的头像
Ruiqi Gao2 年前

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

Ruiqi Gao 的头像
Ruiqi Gao2 年前

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.

Ruiqi Gao 的头像
Ruiqi Gao2 年前

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.

Ruiqi Gao 的头像
Ruiqi Gao2 年前

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

Ruiqi Gao 的头像
Ruiqi Gao2 年前

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!

Durk Kingma 的头像
Durk Kingma2 年前

@holynski_ @poolio Congrats, great work!

Ruiqi Gao 的头像
Ruiqi Gao2 年前

@holynski_ @poolio Thanks Durk! ☺️

Abubakar Abid 的头像
Abubakar Abid2 年前

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

Rundi Wu 的头像
Rundi Wu2 年前

@holynski_ @poolio Amazing results!!! Congrats!

Dejia Xu 的头像
Dejia Xu2 年前

@holynski_ @poolio Congrats! Amazing results!

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179,061 次观看 • 3 年前