Make-Your-3D introduces a novel method for subject-driven 3D content generation. It harmonizes multi-view diffusion and identity-specific generative models to create personalized 3D assets. The framework optimizes the models through co-evolution, reducing distribution variance. Extensive experiments validate the method's ability to produce consistent, high-quality subject-specific 3D content efficiently. Make-Your-3D outperforms existing methods like DreamBooth3D in terms of speed, quality, and simplicity by requiring only one input image.
Naar een andere taal
vanuit de broninhoud
arxiv.org
Belangrijkste Inzichten Gedestilleerd Uit
by Fangfu Liu,H... om arxiv.org 03-15-2024
https://arxiv.org/pdf/2403.09625.pdfDiepere vragen