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Francesco Di Renzo

dblp:154/0279 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

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
1 paper
Visual content generation and editing · 50% Rendering · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visual content generation and editing › image editing
appearance editing
0.212014
AppIm: linear spaces for image-based appearance editing · ACM Trans. Graph. 2014
Rendering › appearance modeling
material representation
0.212014
AppIm: linear spaces for image-based appearance editing · ACM Trans. Graph. 2014

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

nonlinear transformation · 0.2linear editing spaces · 0.2GPU-accelerated filtering · 0.2
YearPublicationVenuePosition
2014 AppIm: linear spaces for image-based appearance editing
abstract
Editing spatially-varying appearance is commonplace in most graphics applications. In this paper, we focus on materials whose appearance is described by BRDFs or BSSRDFs, with parameters specified by textures, and with local frame perturbations, namely bump, normal and tangent maps. Editing these materials amounts to editing the textures that encode the spatial variation. To perform these edits, artists commonly adopt imaging softwares since they have rich toolsets and well-understood user interfaces. But editing material parameters as images does not produce consistent results since the parameters' behaviours in their relative spaces are not taken in account. Our goal is to address this issue with a solution that is practical, in that we do not want to change material representation or editing workflow to ensure adoption. We observe that most image editing operations can be written as linear combination of colors. We thus define editing spaces for material parameters such that linear operations in these spaces respect their inherent meaning of the parameters. Transformations to and from editing spaces are non-linear to capture the non-linear behaviour of the parameters. Since GPUs are particularly efficient when executing linear operations, they can be used well with editing spaces. We demonstrate the use of editing spaces to edit microfacet BRDFs and SubEdit BSSRDFs by performing various imaging operations such as layering, linear and non-linear filtering, local and global contrast enhancements, and hardware-accelerated painting.
Francesco Di Renzo, Claudio Calabrese, Fabio Pellacini
ACM Trans. Graph.1