Amit Raj Srinivas Kaza Ben Poole Michael Niemeyer Nataniel Ruiz Ben Mildenhall Shiran Zada Kfir Aberman Michael Rubinstein Jonathan Barron Yuanzhen Li Varun Jampani Google
[Paper] [Summary Video] [BibTeX]
We present DreamBooth3D, an approach to personalize text-to-3D generative models from as few as 3-6 casually captured images of a subject. Our approach combines recent advances in personalizing text-to-image models (DreamBooth) with text-to-3D generation (DreamFusion). We find that naively combining these methods fails to yield satisfactory subject-specific 3D assets due to personalized text-to-image models overfitting to the input viewpoints of the subject. We overcome this through a 3-stage optimization s