Ma photo

Alban Fichet

Coordonnées
MAVERICK
INRIA Rhône-Alpes
655, avenue de l'Europe
38334 Saint Ismier Cedex
Téléphone:(+33) 4 76 61 55 17
Télécopie:(+33) 4 76 61 54 40

Ma clef PGP, Fingerprint: 6836 06E7 73C3 AF5A D048 D5D0 7049 35AF 5FA9 27F9

Cette page est une archive. Elle ne recevra plus de mise à jour.

Ma page actuelle se trouve à cette adresse : https://afichet.github.io.

J'ai défendu ma thèse en Décembre 2019. J'ai été sous la direction de Nicolas Holzschuch. Le sujet de ma thèse est la représentation efficace pour des réflectances mesurées.

J'ai fait une année de césure, entre 2017 et 2018, en République Tchèque à l'Université Charles au sein du Computer Graphics Group sous la direction de Alexander Wilkie et Jaroslav Křivánek.

Publications

Pour une liste complète des publications des membres de notre équipe, voir ici.

2024

24_teaser_fluo_rgb.png
titre
Non-Orthogonal Reduction for Rendering Fluorescent Materials in Non-Spectral Engines
auteur
Alban Fichet, Laurent Belcour, Pascal Barla
article
Computer Graphics Forum, 2024, 43 (4), ⟨10.1111/cgf.15150⟩
resume
We propose a method to accurately handle fluorescence in a non-spectral (e.g., tristimulus) rendering engine, showcasing color-shifting and increased luminance effects. Core to our method is a principled reduction technique that encodes the re-radiation into a low-dimensional matrix working in the space of the renderer’s Color Matching Functions (CMFs). Our process is independent of a specific CMF set and allows for the addition of a non-visible ultraviolet band during light transport. Our representation visually matches full spectral light transport for measured fluorescent materials even for challenging illuminants.
DOI
DOI : 10.1111/cgf.15150
Accès au texte intégral et bibtex
https://hal.science/hal-04627467/file/paper.pdf BibTex

2022

Efficient-Storage-and-Importance-Sampling-for-Fluorescent-Reflectance-Teaser.png
titre
Efficient Storage and Importance Sampling for Fluorescent Reflectance
auteur
Qingqin Hua, Vojtěch Tázlar, Alban Fichet, Alexander Wilkie
article
Computer Graphics Forum, 2022, ⟨10.1111/cgf.14716⟩
resume
We propose a technique for efficient storage and importance sampling of fluorescent spectral data. Fluorescence is fully described by a reradiation matrix, which for a given input wavelength indicates how much energy is reemitted at other wavelengths. However, such representation has a considerable memory footprint. To significantly reduce memory requirements, we propose the use of Gaussian mixture models for the representation of reradiation matrices. Instead of the full-resolution matrix, we work with a set of Gaussian parameters that also allow direct importance sampling. Furthermore, if accuracy is of concern, a reradiation matrix can be used jointly with efficient importance sampling provided by the Gaussian mixture. In this paper, we present our pipeline for efficient storage of bispectral data and provide its extensive evaluation on a large set of bispectral measurements. We show that our method is robust and colour accurate even with its comparably minor memory requirements and that it can be seamlessly integrated into a standard Monte Carlo path tracer.
DOI
DOI : 10.1111/cgf.14716
Accès au texte intégral et bibtex
https://hal.science/hal-03909700/file/Efficient-Storage-and-Importance-Sampling-for-Fluorescent-Reflectance.pdf BibTex

2021

titre
Efficient Spectral Rendering on the GPU for Predictive Rendering
auteur
David Murray, Alban Fichet, Romain Pacanowski
article
Ray Tracing Gems II, Springer, pp.673 - 698, 2021, 978-1-4842-7185-8. ⟨10.1007/978-1-4842-7185-8_42⟩
resume
Current graphic processing units (GPU) in conjunction with specialized APIs open the possibility of interactive path tracing. Spectral rendering is necessary for accurate and predictive light transport simulation, especially to render specific phenomena such as light dispersion. However, it requires larger assets than traditional RGB rendering pipelines. Thanks to the increase of available onboard memory on newer graphic cards, it becomes possible to load larger assets onto the GPU, making spectral rendering feasible. In this chapter, we describe the strengths of spectral rendering and present our approach for implementing a spectral path tracer on the GPU. We also propose solutions to limit the impact on memory when handling finely sampled spectra or large scenes.
DOI
DOI : 10.1007/978-1-4842-7185-8_42
Accès au texte intégral et bibtex
https://inria.hal.science/hal-03331619/file/Efficient%20Spectral%20Rendering%20on%20the%20GPU.pdf BibTex
titre
An OpenEXR Layout for Spectral Images
auteur
Alban Fichet, Romain Pacanowski, Alexander Wilkie
article
Journal of Computer Graphics Techniques, 2021
resume
We propose a standardised layout to organise spectral data stored in OpenEXR images. We motivate why we chose the OpenEXR format as basis for our work, and we explain our choices with regard to data selection and organisation: our goal is to define a standard for the exchange of measured or simulated spectral and bi-spectral data. We also provide sample code to store spectral images in OpenEXR format.
Accès au texte intégral et bibtex
https://inria.hal.science/hal-03252797/file/paper.pdf BibTex
gmm.png
titre
A Compact Representation for Fluorescent Spectral Data
auteur
Qingqin Hua, Alban Fichet, Alexander Wilkie
article
Eurographics Symposium on Rendering, Jun 2021, Saarbrücken, Germany
resume
We propose a technique to efficiently importance sample and store fluorescent spectral data. Fluorescence behaviour is properly represented as a re-radiation matrix: for a given input wavelength, this matrix indicates how much energy is re-emitted at all other wavelengths. However, such a 2D representation has a significant memory footprint, especially when a scene contains a high number of fluorescent objects, or fluorescent textures. We propose to use Gaussian Mixture Domain to model re-radiation, which allows us to significantly reduce the memory footprint. Instead of storing the full matrix, we work with a set of Gaussian parameters that also allow direct importance sampling. When accuracy is a concern, one can still use the re-radiation matrix data, and just benefit from importance sampling provided by the Gaussian Mixture. Our method is useful when numerous fluorescent materials are present in a scene, an in particular for textures with fluorescent components.
Accès au texte intégral et bibtex
https://hal.science/hal-03274233/file/egsr21-a_compact_representation_for_fluorescent_spectral_data.pdf BibTex

2018

teaser_compare.png
titre
Handling Fluorescence in a Uni-directional Spectral Path Tracer
auteur
Michal Mojzík, Alban Fichet, Alexander Wilkie
article
Computer Graphics Forum, 2018, 37 (4), pp.77 - 94. ⟨10.1111/cgf.13477⟩
resume
We present two separate improvements to the handling of fluorescence effects in modern uni-directional spectral rendering systems. The first is the formulation of a new distance tracking scheme for fluorescent volume materials which exhibit a pronounced wavelength asymmetry. Such volumetric materials are an important and not uncommon corner case of wavelength-shifting media behaviour, and have not been addressed so far in rendering literature. The second one is that we introduce an extension of Hero wavelength sampling which can handle fluorescence events, both on surfaces, and in volumes. Both improvements are useful by themselves, and can be used separately: when used together, they enable the robust inclusion of arbitrary fluorescence effects in modern uni-directional spectral MIS path tracers. Our extension of Hero wavelength sampling is generally useful, while our proposed technique for distance tracking in strongly asymmetric media is admittedly not very efficient. However, it makes the most of a rather difficult situation, and at least allows the inclusion of such media in uni-directional path tracers, albeit at comparatively high cost. Which is still an improvement since up to now, their inclusion was not really possible at all, due to the inability of conventional tracking schemes to generate sampling points in such volume materials.
DOI
DOI : 10.1111/cgf.13477
Accès au texte intégral et bibtex
https://inria.hal.science/hal-01818826/file/fluo_sampling.pdf BibTex

2016

teapots.jpg
titre
Capturing Spatially Varying Anisotropic Reflectance Parameters using Fourier Analysis
auteur
Alban Fichet, Imari Sato, Nicolas Holzschuch
article
Graphics Interface Conference 2016, Jun 2016, Victoria, BC, Canada. pp.65-73, ⟨10.20380/GI2016.09⟩
resume
Reflectance parameters condition the appearance of objects in photorealistic rendering. Practical acquisition of reflectance parameters is still a difficult problem. Even more so for spatially varying or anisotropic materials, which increase the number of samples required. In this paper, we present an algorithm for acquisition of spatially varying anisotropic materials, sampling only a small number of directions. Our algorithm uses Fourier analysis to extract the material parameters from a sub-sampled signal. We are able to extract diffuse and specular reflectance, direction of anisotropy, surface normal and reflectance parameters from as little as 20 sample directions. Our system makes no assumption about the stationarity or regularity of the materials, and can recover anisotropic effects at the pixel level.
DOI
DOI : 10.20380/GI2016.09
Accès au texte intégral et bibtex
https://inria.hal.science/hal-01302120/file/paper.pdf BibTex

Projet de recherche

Collaboration au cours de mon année de césure en République Tchèque au développement de ART, The Advanced Rendering Toolkit originellement dévloppé par Robert f. Tobler, actuellement maintenu par Alexander Wilkie.

Cornell Box rendering Various materials rendering Fluorescence rendering

Visitez le site internet dédié à ART pour plus d'informations.

Shadertoy

Voici une collection de mes Shadertoys.

Cliquez sur l'image pour visualiser le shader (Javascript de Fabrice Neyret, allez voir sa collection : ici).

Trucs utiles

Programmes

OpenEXR Thumbnailer (Linux)

Afficher des apercu de vos fichiers EXR dans votre gestion filemanager:

Installation sur Ubuntu:

sudo add-apt-repository ppa:alban-f/openexr-thumbnailer
sudo apt-get update
sudo apt install openexr-thumbnailer

OpenEXR gThumb extension

Extension pour afficher les fichiers OpenEXR sous gThumb:

Installation sur Arch Linux:

yay -Sy
yay -S gthumb-openexr-extension

OpenEXR / TIFF conversion tools

Outils de conversion OpenEXR depuis TIFF et vers PNG:

Codes pratiques

Transfert de fichier sur UNIX

Entre deux stations UNIX (ou en installant Netcast sur Windows) :

Transfert de fichier avec HTML5

Avec le service sharedrop.io : www.sharedrop.io.

Coin Perso