[R] Gsgen: Text-to-3D using Gaussian Splatting

[Project Page](https://gsgen3d.github.io/)
[Paper](https://arxiv.org/abs/2309.16585)
[Code](https://github.com/gsgen3d/gsgen)

> In this paper, we present Gaussian Splatting based text-to-3D generation (GSGEN), a novel approach for generating high-quality 3D objects. Previous methods suffer from inaccurate geometry and limited fidelity due to the absence of 3D prior and proper representation. We leverage 3D Gaussian Splatting, a recent state-of-the-art representation, to address existing shortcomings by exploiting the explicit nature that enables the incorporation of 3D prior. Specifically, our method adopts a progressive optimization strategy, which includes a geometry …

3d objects art fidelity geometry machinelearning nature novel objects paper prior quality representation state text