Junlin Han*

VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models

"This paper presents a novel method for building scalable 3D generative models utilizing pre-trained video diffusion models. The primary obstacle in developing foundation 3D generative models is the limited availability of 3D data. Unlike images, texts, or videos, 3D data are not readily accessible…