Get 3D object shape from one image by synchronizing generated images of many views with SyncDreamer
Get 3D object shape from one image by synchronizing generated images of many views with SyncDreamer
SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
arXiv paper abstract https://arxiv.org/abs/2309.03453
arXiv PDF paper https://arxiv.org/pdf/2309.03453.pdf
Project page https://liuyuan-pal.github.io/SyncDreamer
... present a novel diffusion model called that generates multiview-consistent images from a single-view image.
Using pretrained large-scale 2D diffusion models, recent work Zero123 demonstrates the ability to generate plausible novel views from a single-view image of an object.
However, maintaining consistency in geometry and colors for the generated images remains a challenge.
... propose a synchronized multiview diffusion model that models the joint probability distribution of multiview images, enabling the generation of multiview-consistent images in a single reverse process.
SyncDreamer synchronizes the intermediate states of all the generated images at every step of the reverse process through a 3D-aware feature attention mechanism that correlates the corresponding features across different views.
Experiments show that SyncDreamer generates images with high consistency across different views, thus making it well-suited for various 3D generation tasks such as novel-view-synthesis, text-to-3D, and image-to-3D.
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