Intrinsic decomposition and editing of 3D Gaussian splats

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Authors: Alexandre Lanvin, J. Hu, Simon Lucas, Adrien Bousseau, George Drettakis
Cited by: 1
References: 26

Abstract

Intrinsic decomposition — which expresses image colors as the product of diffuse albedo and shading, possibly augmented with view-dependent residuals — has a long history in image editing as it enables the modification of object colors and textures without altering lighting. We extend intrinsic decomposition to radiance fields represented with Gaussian splatting by proposing solutions to three key aspects of such decomposition. First, we describe how to model the intrinsic decomposition as independent sets of Gaussian primitives, which allows each set to adapt to the characteristics of the layer it represents. Second, we present an optimization procedure guided by data-driven predictions to disentangle multi-view photographs of a scene into the aforementioned intrinsic sets. Finally, we provide an editing workflow where users modify the texture of planar surfaces simply by modifying the albedo of that surface in one image. Capturing this edit within the intrinsic radiance field allows re-rendering of the edited scene with plausible lighting under arbitrary viewpoints.

Fields of Study & Subjects

Computer Graphics and Visualization Techniques Generative Adversarial Networks and Image Synthesis Image Enhancement Techniques

Publication details

Journal / source
Proceedings of the ACM on Computer Graphics and Interactive Techniques
Publisher
Association for Computing Machinery (ACM)
Volume
9
Issue
1
Pages
1–18
Publication date
1 May 2026
Language
EN