StyleAvatar3D: Image-Text Diffusion for 3D Avatar Generation
A group from Tencent Research just released a paper in which they present a novel method for generating high-quality, stylized 3D avatars.
A group from Tencent Research just released a paper in which they present a novel method for generating high-quality, stylized 3D avatars.
They utilize pre-trained image-text diffusion models for data generation and a Generative Adversarial Network (GAN)-based 3D generation network for training. The results look really stunning.
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At the time of writing the code was not public yet, but apparently this is the repo where it will be released:
GitHub - icoz69/StyleAvatar3D: Official repo for StyleAvatar3D
Official repo for StyleAvatar3D. Contribute to icoz69/StyleAvatar3D development by creating an account on GitHub.
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