title: CAT3D: Create Anything in 3D with Multi-View Diffusion Models
summary: 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 .
paper_authors._id: 6646c0361a95b953729a1aa6
paper_authors.name: Ruiqi Gao
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-05-17T09:35:41.476Z
paper_authors._id: 6137d46d1c0a1ca53676925f
paper_authors.avatarUrl: /avatars/f3d884a3971a858adc49e0f3b1932078.svg
paper_authors.fullname: Gao
paper_authors.type: user
paper_authors.user: Ruiqi
paper_authors._id: 6646c0361a95b953729a1aa7
paper_authors.name: Aleksander Holynski
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-05-17T09:35:47.984Z
paper_authors._id: 62f6e2792e53c2efd33faa92
paper_authors.avatarUrl: /avatars/85d94b4022577747b8d2d10a82c2f3c7.svg
paper_authors.fullname: Aleksander Holynski
paper_authors.type: user
paper_authors.user: holynski
paper_authors._id: 6646c0361a95b953729a1aa8
paper_authors.name: Philipp Henzler
paper_authors._id: 6646c0361a95b953729a1aa9
paper_authors.name: Arthur Brussee
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-05-17T09:36:00.825Z
paper_authors._id: 631e2f3de4b67f5168fa6578
paper_authors.avatarUrl: /avatars/dbb974595595996957e0a36f3f58027e.svg
paper_authors.fullname: Arthur Brussee
paper_authors.type: user
paper_authors.user: bakfiets
paper_authors._id: 6646c0361a95b953729a1aaa
paper_authors.name: Ricardo Martin-Brualla
paper_authors._id: 6646c0361a95b953729a1aab
paper_authors.name: Pratul Srinivasan
paper_authors._id: 6646c0361a95b953729a1aac
paper_authors.name: Jonathan T. Barron
paper_authors._id: 6646c0361a95b953729a1aad
paper_authors.name: Ben Poole
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-05-17T09:36:23.058Z
paper_authors._id: 63213768d2d45f315183abc3
paper_authors.avatarUrl: /avatars/521f52f430b73e514afb06e3a9d6779d.svg
paper_authors.fullname: Ben Poole
paper_authors.type: user
paper_authors.user: doinkda
paper_title: CAT3D: Create Anything in 3D with Multi-View Diffusion Models
paper_summary: 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 .
paper_ai_keywords: multi-view diffusion model novel views 3D reconstruction techniques 3D representations