Pith. sign in

REVIEW 2 cited by

3DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2412.12507 v2 pith:R7RXDSOT submitted 2024-12-17 cs.GR cs.CV

classification cs.GRcs.CV
keywords camerasformulationgaussianrenderingsecondarysplattingdgutdistorted
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

3D Gaussian Splatting (3DGS) enables efficient reconstruction and high-fidelity real-time rendering of complex scenes on consumer hardware. However, due to its rasterization-based formulation, 3DGS is constrained to ideal pinhole cameras and lacks support for secondary lighting effects. Recent methods address these limitations by tracing the particles instead, but, this comes at the cost of significantly slower rendering. In this work, we propose 3D Gaussian Unscented Transform (3DGUT), replacing the EWA splatting formulation with the Unscented Transform that approximates the particles through sigma points, which can be projected exactly under any nonlinear projection function. This modification enables trivial support of distorted cameras with time dependent effects such as rolling shutter, while retaining the efficiency of rasterization. Additionally, we align our rendering formulation with that of tracing-based methods, enabling secondary ray tracing required to represent phenomena such as reflections and refraction within the same 3D representation. The source code is available at: https://github.com/nv-tlabs/3dgrut.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. TexGS-VolVis: Expressive Scene Editing for Volume Visualization via Textured Gaussian Splatting

    cs.GR 2025-07 conditional novelty 6.0 of 10

    A textured Gaussian splatting framework enables flexible image- and text-driven style editing of volume visualizations with real-time rendering.

  2. DirectFisheye-GS: Enabling Native Fisheye Input in Gaussian Splatting with Cross-View Joint Optimization

    cs.CV 2026-04 conditional novelty 5.5 of 10

    Native fisheye projection inside 3DGS plus feature-overlap cross-view joint optimization matches or beats prior fisheye and pinhole Gaussian methods on public datasets.

Pith tools