DisC-GS: Discontinuity-aware Gaussian Splatting
<|reference_start|>DisC-GS: Discontinuity-aware Gaussian Splatting: Recently, Gaussian Splatting, a method that represents a 3D scene as a collection of Gaussian distributions, has gained significant attention in addressing the task of novel view synthesis. In this paper, we highlight a fundamental limitation of Gaussian Splatting: its inability to accurately render discontinuities and boundaries in images due to the continuous nature of Gaussian distributions. To address this issue, we propose a novel framework enabling Gaussian Splatting to perform discontinuity-aware image rendering. Additionally, we introduce a B\'ezier-boundary gradient approximation strategy within our framework to keep the ``differentiability'' of the proposed discontinuity-aware rendering process. Extensive experiments demonstrate the efficacy of our framework.<|reference_end|>
@article{qu2024disc-gs:,
    title={DisC-GS: Discontinuity-aware Gaussian Splatting},
    author={Haoxuan Qu, Zhuoling Li, Hossein Rahmani, Yujun Cai, Jun Liu},
    journal={arXiv preprint arXiv:2405.15196},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.15196},
    primaryClass={cs.CV}
}