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Lionel Simonot

dblp:213/5922 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-3497-2647ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 3

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Rendering · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Rendering › bidirectional reflectance distribution function
microfacet BRDF
0.722019
Microfacet BSDFs Generated from NDFs and Explicit Microgeometry · ACM Trans. Graph. 2019
Rendering Rough Opaque Materials with Interfaced Lambertian Microfacets · IEEE Trans. Vis. Comput. Graph. 2018
Rendering
physically based rendering
0.722019
Microfacet BSDFs Generated from NDFs and Explicit Microgeometry · ACM Trans. Graph. 2019
Rendering Rough Opaque Materials with Interfaced Lambertian Microfacets · IEEE Trans. Vis. Comput. Graph. 2018
Rendering › bidirectional reflectance distribution function › microfacet BRDF
normal distribution function
0.412019
Microfacet BSDFs Generated from NDFs and Explicit Microgeometry · ACM Trans. Graph. 2019
Rendering
material appearance
0.312018
Rendering Rough Opaque Materials with Interfaced Lambertian Microfacets · IEEE Trans. Vis. Comput. Graph. 2018
Rendering
global illumination
0.112019
Microfacet BSDFs Generated from NDFs and Explicit Microgeometry · ACM Trans. Graph. 2019
Rendering › ray tracing
path tracing
0.112019
Microfacet BSDFs Generated from NDFs and Explicit Microgeometry · ACM Trans. Graph. 2019
Rendering
monte carlo rendering
0.112018
Rendering Rough Opaque Materials with Interfaced Lambertian Microfacets · IEEE Trans. Vis. Comput. Graph. 2018

Methods — techniques the papers use, named apart from their topics

smith shadowing-masking · 0.4importance sampling · 0.4fresnel reflectance · 0.3analytic multiple reflection · 0.3GPU approximation · 0.3
YearPublicationVenuePosition
2019 Microfacet BSDFs Generated from NDFs and Explicit Microgeometry
abstract
Microfacet distributions are considered nowadays as a reference for physically plausible BSDF representations. Many authors have focused on their physical and mathematical correctness, while introducing means to enlarge the range of possible appearances. This article is dedicated to Normal Distribution Functions (NDFs) and the influence of their shape on the rendered material aspect. We provide a complete framework for studying the impact of NDFs on the observed Bidirectional Scattering Distribution Functions (BSDFs). To explore very general NDFs, manually controlled by the user, and including anisotropic materials, we propose to use a piecewise continuous representation. It is derived with its associated Smith shadowing-masking function and importance sampling formulations for ensuring efficient global illumination computations. A new procedure is also proposed in this article for generating an explicit geometric micro-surface, used to evaluate the validity of analytic models and multiple scattering effects. The results are produced with a computer-generated process using path tracing. They show that this generation procedure is suitable with any NDF model, independently from its shape complexity.
Mickaël Ribardière, Benjamin Bringier, Lionel Simonot, Daniel Meneveaux
ACM Trans. Graph.3
2018 Rendering Rough Opaque Materials with Interfaced Lambertian Microfacets
abstract
Specular microfacet distributions have been successfully employed by many authors for representing glossiness of materials. They are generally combined with a Lambertian term to account for the colored aspect. These representations make use of the Fresnel reflectance factor at the interface, but the transmission factor at the interface should also be managed. One solution is to employ a multi-layered model with a single layer for the rough interface, which requires a numerical simulation for handling the multiple reflections of light between the substrate and the interface. In this paper, we propose rather to use a representation corresponding to a Fresnel interface lying on a Lambertian substrate, for which the multiple reflections of light between the interface and the substrate can be expressed analytically. With this interfaced Lambertian model, we show how Fresnel transmission affects the material appearance for flat and rough surfaces with isotropic and anisotropic distributions, that produce light backscattering effects. We also propose a methodology for using such materials in any physically based Monte Carlo rendering system, as well as an approximate representation, suitable for GPU applications or measured data fitting. Our approach generalizes several previous models, including flat Lambertian materials as well as specular and Lambertian microfacets. Our results illustrate the wide range of materials that can be rendered with this representation.
Daniel Meneveaux, Benjamin Bringier, Emmanuelle Tauzia, Mickaël Ribardière, Lionel Simonot
IEEE Trans. Vis. Comput. Graph.5
2017 STD: Student's t-Distribution of Slopes for Microfacet Based BSDFs
abstract
This paper focuses on microfacet reflectance models, and more precisely on the definition of a new and more general distribution function, which includes both Beckmann's and GGX distributions widely used in the computer graphics community. Therefore, our model makes use of an additional parameter γ, which controls the distribution function slope and tail height. It actually corresponds to a bivariate Student's t-distribution in slopes space and it is presented with the associated analytical formulation of the geometric attenuation factor derived from Smith representation. We also provide the analytical derivations for importance sampling isotropic and anisotropic materials. As shown in the results, this new representation offers a finer control of a wide range of materials, while extending the capabilities of fitting parameters with captured data.
Mickaël Ribardière, Benjamin Bringier, Daniel Meneveaux, Lionel Simonot
Comput. Graph. Forum4