EDBT 2026 Demo / reviewers in the wild / expert
Michael Kaschalk
dblp:41/9924
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1
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 |
Rendering · 87% Visual content generation and editing · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Rendering
light transport |
0.1 | 1 | 2011 | A programmable system for artistic volumetric lighting · ACM Trans. Graph. 2011 |
Rendering
participating media rendering |
0.1 | 1 | 2011 | A programmable system for artistic volumetric lighting · ACM Trans. Graph. 2011 |
Methods — techniques the papers use, named apart from their topics
programmable simulation and shading · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | A programmable system for artistic volumetric lightingabstractWe present a method for generating art-directable volumetric effects, ranging from physically-accurate to non-physical results. Our system mimics the way experienced artists think about volumetric effects by using an intuitive lighting primitive, and decoupling the modeling and shading of this primitive. To accomplish this, we generalize the physically-based photon beams method to allow arbitrarily programmable simulation and shading phases. This provides an intuitive design space for artists to rapidly explore a wide range of physically-based as well as plausible, but exaggerated, volumetric effects. We integrate our approach into a real-world production pipeline and couple our volumetric effects to surface shading. Derek Nowrouzezahrai, Jared M. Johnson, Andrew Selle, Dylan Lacewell, Michael Kaschalk, Wojciech Jarosz |
ACM Trans. Graph. | 5 |