DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation ICLR 2024 (Oral) Jiaxiang Tang1, Jiawei Ren2, Hang Zhou3, Ziwei Liu2, Gang Zeng1 1 Peking University 2 S-Lab, Nanyang Technological University 3 Baidu Abstract Recent advances in 3D content creation mostly leverage optimization-based 3D generation via score distillation sampling (SDS). Though promising results have been