title: ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation
summary: We introduce "ImageDream," an innovative image-prompt, multi-view diffusion
  model for 3D object generation. ImageDream stands out for its ability to
  produce 3D models of higher quality compared to existing state-of-the-art,
  image-conditioned methods. Our approach utilizes a canonical camera
  coordination for the objects in images, improving visual geometry accuracy. The
  model is designed with various levels of control at each block inside the
  diffusion model based on the input image, where global control shapes the
  overall object layout and local control fine-tunes the image details. The
  effectiveness of ImageDream is demonstrated through extensive evaluations using
  a standard prompt list. For more information, visit our project page at
  https://Image-Dream.github.io.
paper_authors._id: 656fdcfa86937e43fff8cf4c
paper_authors.name: Peng Wang
paper_authors._id: 656fdcfa86937e43fff8cf4d
paper_authors.name: Yichun Shi
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-12-06T11:48:57.983Z
paper_authors._id: 6309ad81b105f8675bd5a796
paper_authors.avatarUrl: /avatars/01c2186924486da4606e128e83709164.svg
paper_authors.fullname: Shi
paper_authors.type: user
paper_authors.user: Yichun
paper_title: ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation
paper_summary: We introduce "ImageDream," an innovative image-prompt, multi-view diffusion
  model for 3D object generation. ImageDream stands out for its ability to
  produce 3D models of higher quality compared to existing state-of-the-art,
  image-conditioned methods. Our approach utilizes a canonical camera
  coordination for the objects in images, improving visual geometry accuracy. The
  model is designed with various levels of control at each block inside the
  diffusion model based on the input image, where global control shapes the
  overall object layout and local control fine-tunes the image details. The
  effectiveness of ImageDream is demonstrated through extensive evaluations using
  a standard prompt list. For more information, visit our project page at
  https://Image-Dream.github.io.
paper_ai_summary: ImageDream is a multi-view diffusion model for 3D object generation that uses image prompts to produce high-quality 3D models with improved visual geometry accuracy.
paper_ai_keywords: image-prompt multi-view diffusion model 3D object generation canonical camera coordination global control local control