From Volume Rendering to 3D Gaussian Splatting: Theory and Applications

• URL: http://arxiv.org/abs/2510.18101v1
• Date: Mon, 20 Oct 2025 20:52:41 GMT
• Title: From Volume Rendering to 3D Gaussian Splatting: Theory and Applications
• Authors: Vitor Pereira Matias, Daniel Perazzo, Vinicius Silva, Alberto Raposo, Luiz Velho, Afonso Paiva, Tiago Novello,
• Abstract summary: This tutorial provides a concise yet comprehensive overview of the 3DGS pipeline.<n>It starts from its splatting formulation and then explores the main efforts in addressing its limitations.<n>We survey a range of applications that leverage 3DGS for surface reconstruction, avatar modeling, animation, and content generation.
• Score: 5.318207476146788
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The problem of 3D reconstruction from posed images is undergoing a fundamental transformation, driven by continuous advances in 3D Gaussian Splatting (3DGS). By modeling scenes explicitly as collections of 3D Gaussians, 3DGS enables efficient rasterization through volumetric splatting, offering thus a seamless integration with common graphics pipelines. Despite its real-time rendering capabilities for novel view synthesis, 3DGS suffers from a high memory footprint, the tendency to bake lighting effects directly into its representation, and limited support for secondary-ray effects. This tutorial provides a concise yet comprehensive overview of the 3DGS pipeline, starting from its splatting formulation and then exploring the main efforts in addressing its limitations. Finally, we survey a range of applications that leverage 3DGS for surface reconstruction, avatar modeling, animation, and content generation-highlighting its efficient rendering and suitability for feed-forward pipelines.

Related papers

• Quantile Rendering: Efficiently Embedding High-dimensional Feature on 3D Gaussian Splatting [52.18697134979677]
  Recent advancements in computer vision have successfully extended Open-vocabulary segmentation (OVS) to the 3D domain by leveraging 3D Gaussian Splatting (3D-GS)<n>Existing methods employ codebooks or feature compression, causing information loss, thereby degrading segmentation quality.<n>We introduce Quantile Rendering (Q-Render), a novel rendering strategy for 3D Gaussians that efficiently handles high-dimensional features while maintaining high fidelity.<n>Our framework outperforms state-of-the-art methods, while enabling real-time rendering with an approximate 43.7x speedup on 512-D feature maps.
  arXiv  Detail & Related papers  (2025-12-24T04:16:18Z)
• 3DGabSplat: 3D Gabor Splatting for Frequency-adaptive Radiance Field Rendering [50.04967868036964]
  3D Gaussian Splatting (3DGS) has enabled real-time rendering while maintaining high-fidelity novel view synthesis.<n>We propose 3D Gabor Splatting (3DGabSplat) that incorporates a novel 3D Gabor-based primitive with multiple directional 3D frequency responses.<n>We achieve 1.35 dBR gain over 3D with simultaneously reduced number of primitive memory consumption.
  arXiv  Detail & Related papers  (2025-08-07T12:49:44Z)
• EVolSplat: Efficient Volume-based Gaussian Splatting for Urban View Synthesis [61.1662426227688]
  Existing NeRF and 3DGS-based methods show promising results in achieving photorealistic renderings but require slow, per-scene optimization.<n>We introduce EVolSplat, an efficient 3D Gaussian Splatting model for urban scenes that works in a feed-forward manner.
  arXiv  Detail & Related papers  (2025-03-26T02:47:27Z)
• Lightweight Gradient-Aware Upscaling of 3D Gaussian Splatting Images [2.506624215459612]
  Compared to 3DGS, it achieves significantly higher rendering speeds and reduces artifacts commonly observed in 3DGS reconstructions.<n>Our technique upscales low-resolution 3DGS renderings with a marginal increase in cost.
  arXiv  Detail & Related papers  (2025-03-18T11:42:52Z)
• Does 3D Gaussian Splatting Need Accurate Volumetric Rendering? [8.421214057144569]
  3D Gaussian Splatting (3DGS) is an important reference method for learning 3D representations of a captured scene.<n>NeRFs, which preceded 3DGS, are based on a principled ray-marching approach for rendering.<n>We present an in-depth analysis of the various approximations and assumptions used by the original 3DGS solution.
  arXiv  Detail & Related papers  (2025-02-26T17:11:26Z)
• Beyond Gaussians: Fast and High-Fidelity 3D Splatting with Linear Kernels [51.08794269211701]
  We introduce 3D Linear Splatting (3DLS), which replaces Gaussian kernels with linear kernels to achieve sharper and more precise results.<n>3DLS demonstrates state-of-the-art fidelity and accuracy, along with a 30% FPS improvement over baseline 3DGS.
  arXiv  Detail & Related papers  (2024-11-19T11:59:54Z)
• GeoSplatting: Towards Geometry Guided Gaussian Splatting for Physically-based Inverse Rendering [69.67264955234494]
  GeoSplatting is a novel approach that augments 3DGS with explicit geometry guidance for precise light transport modeling.<n>By differentiably constructing a surface-grounded 3DGS from an optimizable mesh, our approach leverages well-defined mesh normals and the opaque mesh surface.<n>This enhancement ensures precise material decomposition while preserving the efficiency and high-quality rendering capabilities of 3DGS.
  arXiv  Detail & Related papers  (2024-10-31T17:57:07Z)
• 3DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priors [13.191199172286508]
  Novel-view synthesis aims to generate novel views of a scene from multiple input images or videos. 3DGS-Enhancer is a novel pipeline for enhancing the representation quality of 3DGS representations.
  arXiv  Detail & Related papers  (2024-10-21T17:59:09Z)
• WE-GS: An In-the-wild Efficient 3D Gaussian Representation for Unconstrained Photo Collections [8.261637198675151]
  Novel View Synthesis (NVS) from unconstrained photo collections is challenging in computer graphics. We propose an efficient point-based differentiable rendering framework for scene reconstruction from photo collections. Our approach outperforms existing approaches on the rendering quality of novel view and appearance synthesis with high converge and rendering speed.
  arXiv  Detail & Related papers  (2024-06-04T15:17:37Z)
• SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition [66.56357905500512]
  3D Gaussian Splatting has emerged as an alternative 3D representation for novel view synthesis.<n>We propose SAGD, a conceptually simple yet effective boundary-enhanced segmentation pipeline for 3D-GS.<n>Our approach achieves high-quality 3D segmentation without rough boundary issues, which can be easily applied to other scene editing tasks.
  arXiv  Detail & Related papers  (2024-01-31T14:19:03Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.