A Study on the Use of High Dynamic Range Imaging for Gaussian Splatting Methods: Are 8 bits Enough?

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Date
2024
Authors
Piras, Valentina
Bonatti, Amedeo Franco
Maria, Carmelo De
Cignoni, Paolo
Banterle, Francesco
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
The recent rise of Neural Radiance Fields (NeRFs)-like methods has revolutionized high-fidelity scene reconstruction, with 3D Gaussian Splatting (3DGS) standing out for its ability to generate photorealistic images while maintaining fast, efficient rendering. 3DGS delivers high-fidelity representations of complex scenes at any scale (from very small objects to entire cities), accurately capturing geometry, materials, and lighting, while meeting the need for fast and efficient rendering-crucial for applications requiring real-time performance. Although High Dynamic Range (HDR) technology, which enables the capture of comprehensive real-world lighting information, has been used in novel view synthesis, several questions remain unanswered. For example, does HDR improve the overall quality of reconstruction? Are 8 bits enough? Can tone mapped images be a balanced compromise regarding quality and details? To answer such questions, in this work, we study the application of HDR technology on the 3DGS method for acquiring real-world scenes.
Description

CCS Concepts: Computing methodologies → Rendering; Computational photography; Reconstruction

        
@inproceedings{
10.2312:stag.20241341
, booktitle = {
Smart Tools and Applications in Graphics - Eurographics Italian Chapter Conference
}, editor = {
Caputo, Ariel
and
Garro, Valeria
and
Giachetti, Andrea
and
Castellani, Umberto
and
Dulecha, Tinsae Gebrechristos
}, title = {{
A Study on the Use of High Dynamic Range Imaging for Gaussian Splatting Methods: Are 8 bits Enough?
}}, author = {
Piras, Valentina
and
Bonatti, Amedeo Franco
and
Maria, Carmelo De
and
Cignoni, Paolo
and
Banterle, Francesco
}, year = {
2024
}, publisher = {
The Eurographics Association
}, ISSN = {
2617-4855
}, ISBN = {
978-3-03868-265-3
}, DOI = {
10.2312/stag.20241341
} }
Citation