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Gaussian Frosting: Editable Complex Radiance Fields with Real-Time Rendering

  • Antoine Guédon
  • , Vincent Lepetit
  • Université Gustave Eiffel

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

5 Citations (Scopus)

Résumé

We propose Gaussian Frosting, a novel mesh-based representation for high-quality rendering and editing of complex 3D effects in real-time. Our approach builds on the recent 3D Gaussian Splatting framework, which optimizes a set of 3D Gaussians to approximate a radiance field from images. We propose first extracting a base mesh from Gaussians during optimization, then building and refining an adaptive layer of Gaussians with a variable thickness around the mesh to better capture the fine details and volumetric effects near the surface, such as hair or grass. We call this layer Gaussian Frosting, as it resembles a coating of frosting on a cake. The fuzzier the material, the thicker the frosting. We also introduce a parameterization of the Gaussians to enforce them to stay inside the frosting layer and automatically adjust their parameters when deforming, rescaling, editing or animating the mesh. Our representation allows for efficient rendering using Gaussian splatting, as well as editing and animation by modifying the base mesh. Additionally, the mesh can be used for occlusion culling on Gaussians, accelerating rendering during both optimization and inference. We demonstrate the effectiveness of our method on various synthetic and real scenes, and show that it outperforms existing surface-based approaches. We will release our code and a web-based viewer as additional contributions.

langue originaleAnglais
titreComputer Vision – ECCV 2024 - 18th European Conference, Proceedings
rédacteurs en chefAleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol
EditeurSpringer Science and Business Media Deutschland GmbH
Pages413-430
Nombre de pages18
ISBN (imprimé)9783031736490
Les DOIs
étatPublié - 1 janv. 2025
Modification externeOui
Evénement18th European Conference on Computer Vision, ECCV 2024 - Milan, Italie
Durée: 29 sept. 2024 → 4 oct. 2024

Série de publications

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15123 LNCS
ISSN (imprimé)0302-9743
ISSN (Electronique)1611-3349

Une conférence

Une conférence18th European Conference on Computer Vision, ECCV 2024
Pays/TerritoireItalie
La villeMilan
période29/09/24 → 4/10/24

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