Papers
arxiv:2312.02201

ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation

Published on Dec 2, 2023
· Submitted by akhaliq on Dec 6, 2023
#2 Paper of the day
Authors:
,

Abstract

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.

Community

Cool!! But... Code page is 404

Uploading Screenshot 2024-04-07 151307.png…

Sign up or log in to comment

Models citing this paper 32

Browse 32 models citing this paper

Datasets citing this paper 0

No dataset linking this paper

Cite arxiv.org/abs/2312.02201 in a dataset README.md to link it from this page.

Spaces citing this paper 27

Collections including this paper 8