3D-HGS: 3D Half-Gaussian Splatting

Photo-realistic image rendering from 3D scene reconstruction has advanced significantly with neural rendering techniques. Among these, 3D Gaussian Splatting (3D-GS) outperforms Neural Radiance Fields (NeRFs) in quality and speed but struggles with shape and color discontinuities. We propose 3D Half-Gaussian (3D-HGS) kernels as a plug-and-play solution to address these limitations. Our experiments show that 3D-HGS enhances existing 3D-GS methods, achieving state-of-the-art rendering quality without compromising speed.

@article{li2025_2406.02720,
  title={ 3D-HGS: 3D Half-Gaussian Splatting },
  author={ Haolin Li and Jinyang Liu and Mario Sznaier and Octavia Camps },
  journal={arXiv preprint arXiv:2406.02720},
  year={ 2025 }
}