DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling

arXiv:2404.03575v1 Announce Type: new
Abstract: Text-to-3D scene generation holds immense potential for the gaming, film, and architecture sectors. Despite significant progress, existing methods struggle with maintaining high quality, consistency, and editing flexibility. In this paper, we propose DreamScene, a 3D Gaussian-based novel text-to-3D scene generation framework, to tackle the aforementioned three challenges mainly via two strategies. First, DreamScene employs Formation Pattern Sampling (FPS), a multi-timestep sampling strategy guided by the formation patterns of 3D objects, to form fast, semantically rich, …

3d scene generation arxiv cs.cv sampling text type via