mlsanityData to 7 Oct 2026

ConeGaussian: Anti-Aliased Gaussian Ray-Tracing for Generic Central Cameras

arXiv 2609.13397 ↗First posted 11 Sep 2026cs.CVcited by 0

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Abstract (arXiv)

In rendering, a camera is a sampling operator that maps each finite pixel to a bundle of rays. Different camera models change the geometry of this bundle, thus making a unified and faithful rendering formulation challenging. Consequently, Gaussian ray tracing supports generic cameras (with optical center) through their inverse ray mappings, yet typically reduces every pixel to a single center ray. This ignores the camera-dependent pixel footprint, causing aliasing under minification, while unconstrained Gaussians expose unsupported frequencies under magnification. We present ConeGaussian, a camera-model-agnostic anti-aliasing framework for Gaussian ray-based rendering. Instead of defining the pixel filter on a camera-specific image plane, ConeGaussian constructs an anisotropic footprint directly from neighboring rays produced by the camera's native inverse mapping. We derive a closed-form response under a locally linear, depth-local, moment-matched approximation of the finite pixel footprint, while the same geometry defines a per-Gaussian training-frequency floor. Notably, by construction, our filtering principle can be used unmodified across calibrated central camera models and multiple Gaussian ray-rendering backbones. Additionally, unlike in mip-splatting, our scene-space frequency floor and filtering enable trivial composition at render time, allowing us to remove excess blurring. On pinhole and strongly distorted fisheye captures, ConeGaussian consistently improves two distinct ray-based backbones, by up to 4.3 dB at 1/8 resolution, and reduces fisheye LPIPS by 30% where perspective screen-plane footprint formulations are not directly applicable.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 13 of its 20 references that are in the map. First posted on arXiv 11 Sep 2026.

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13 of 20 references.

References · 13

  1. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
  2. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,013
  3. 2023ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenescited by 747
  4. 2023Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fieldscited by 667
  5. 20243D Gaussian Ray Tracing: Fast Tracing of Particle Scenescited by 138
  6. 2023Multi-Scale 3D Gaussian Splatting for Anti-Aliased Renderingcited by 137
  7. 20243DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splattingcited by 87
  8. 2024Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integrationcited by 66
  9. 2024Splat-Nav: Safe Real-Time Robot Navigation in Gaussian Splatting Mapscited by 54
  10. 2024GaussNav: Gaussian Splatting for Visual Navigationcited by 49
  11. 2024EVER: Exact Volumetric Ellipsoid Rendering for Real-time View Synthesiscited by 46
  12. 2024Fisheye-GS: Lightweight and Extensible Gaussian Splatting Module for Fisheye Camerascited by 22
1 more
  1. 2025Hardware-Rasterized Ray-Based Gaussian Splattingcited by 10

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