GVGEN: Text-to-3D Generation with Volumetric Representation

arXiv:2403.12957v1 Announce Type: new
Abstract: In recent years, 3D Gaussian splatting has emerged as a powerful technique for 3D reconstruction and generation, known for its fast and high-quality rendering capabilities. To address these shortcomings, this paper introduces a novel diffusion-based framework, GVGEN, designed to efficiently generate 3D Gaussian representations from text input. We propose two innovative techniques:(1) Structured Volumetric Representation. We first arrange disorganized 3D Gaussian points as a structured form GaussianVolume. This transformation allows the capture of intricate texture …

3d reconstruction abstract arxiv capabilities cs.cv diffusion framework generate novel paper quality rendering representation text type