ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation
Peng Wang Yichun Shi
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.