Get 3D object shape from one image by synchronizing generated images of many views with SyncDreamer
- morrislee
- Sep 8, 2023
- 1 min read
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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