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Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model
Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model
ratings:
Length:
18 minutes
Released:
Oct 29, 2023
Format:
Podcast episode
Description
We report Zero123++, an image-conditioned diffusion model for generating 3D-consistent multi-view images from a single input view. To take full advantage of pretrained 2D generative priors, we develop various conditioning and training schemes to minimize the effort of finetuning from off-the-shelf image diffusion models such as Stable Diffusion. Zero123++ excels in producing high-quality, consistent multi-view images from a single image, overcoming common issues like texture degradation and geometric misalignment. Furthermore, we showcase the feasibility of training a ControlNet on Zero123++ for enhanced control over the generation process. The code is available at https://github.com/SUDO-AI-3D/zero123plus.
2023: Ruoxi Shi, Hansheng Chen, Zhuoyang Zhang, Minghua Liu, Chao Xu, Xinyue Wei, Linghao Chen, Chong Zeng, Hao Su
https://arxiv.org/pdf/2310.15110v1.pdf
2023: Ruoxi Shi, Hansheng Chen, Zhuoyang Zhang, Minghua Liu, Chao Xu, Xinyue Wei, Linghao Chen, Chong Zeng, Hao Su
https://arxiv.org/pdf/2310.15110v1.pdf
Released:
Oct 29, 2023
Format:
Podcast episode
Titles in the series (100)
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