CAT3D: Create Anything in 3D with Multi-View Diffusion Models

• URL: http://arxiv.org/abs/2405.10314v1
• Date: Thu, 16 May 2024 17:59:05 GMT
• Title: CAT3D: Create Anything in 3D with Multi-View Diffusion Models
• Authors: Ruiqi Gao, Aleksander Holynski, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul Srinivasan, Jonathan T. Barron, Ben Poole,
• Abstract summary: We present CAT3D, a method for creating anything in 3D by simulating this real-world capture process with a multi-view diffusion model. CAT3D can create entire 3D scenes in as little as one minute, and outperforms existing methods for single image and few-view 3D scene creation.
• Score: 87.80820708758317
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Advances in 3D reconstruction have enabled high-quality 3D capture, but require a user to collect hundreds to thousands of images to create a 3D scene. We present CAT3D, a method for creating anything in 3D by simulating this real-world capture process with a multi-view diffusion model. Given any number of input images and a set of target novel viewpoints, our model generates highly consistent novel views of a scene. These generated views can be used as input to robust 3D reconstruction techniques to produce 3D representations that can be rendered from any viewpoint in real-time. CAT3D can create entire 3D scenes in as little as one minute, and outperforms existing methods for single image and few-view 3D scene creation. See our project page for results and interactive demos at https://cat3d.github.io .

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