CAT3D: Create Anything in 3D with Multi-View Diffusion Models
Authors: name: Ruiqi Gao, name: Aleksander Holynski, name: Philipp Henzler, name: Arthur Brussee, name: Ricardo Martin-Brualla, name: Pratul Srinivasan, name: Jonathan T. Barron, name: Ben Poole

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 .