Generalized non-exponential Gaussian splatting

Sébastien Speierer, Adrian Jarabo
3/3/2026
cs.GRcs.CV

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Abstract

In this work we generalize 3D Gaussian splatting (3DGS) to a wider family of physically-based alpha-blending operators. 3DGS has become the standard de-facto for radiance field rendering and reconstruction, given its flexibility and efficiency. At its core, it is based on alpha-blending sorted semitransparent primitives, which in the limit converges to the classic radiative transfer function with exponential transmittance. Inspired by recent research on non-exponential radiative transfer, we generalize the image formation model of 3DGS to non-exponential regimes. Based on this generalization, we use a quadratic transmittance to define sub-linear, linear, and super-linear versions of 3DGS, which exhibit faster-than-exponential decay. We demonstrate that these new non-exponential variants achieve similar quality than the original 3DGS but significantly reduce the number of overdraws, which result on speed-ups of up to $4\times$ in complex real-world captures, on a ray-tracing-based renderer.

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@article{speierer2026generalized,
  title  = {Generalized non-exponential Gaussian splatting},
  author = {Sébastien Speierer and Adrian Jarabo},
  year   = {2026},
  eprint = {2603.02887},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2603.02887v2}
}

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