Demo Data from SIGIR 2026 / reviewers in the wild / expert
Thomas Kim Kjeldsen
dblp:95/10568
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0002-1305-5671ORCID · reported
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 · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Rendering
appearance modeling |
0.2 | 1 | 2014 | Directional Dipole Model for Subsurface Scattering · ACM Trans. Graph. 2014 |
Rendering
subsurface scattering |
0.2 | 1 | 2014 | Directional Dipole Model for Subsurface Scattering · ACM Trans. Graph. 2014 |
Rendering › subsurface scattering
translucent material rendering |
0.2 | 1 | 2014 | Directional Dipole Model for Subsurface Scattering · ACM Trans. Graph. 2014 |
Methods — techniques the papers use, named apart from their topics
monte carlo ray tracing · 0.2dipole construction · 0.2diffusion theory · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Directional Dipole Model for Subsurface ScatteringabstractRendering translucent materials using Monte Carlo ray tracing is computationally expensive due to a large number of subsurface scattering events. Faster approaches are based on analytical models derived from diffusion theory. While such analytical models are efficient, they miss out on some translucency effects in the rendered result. We present an improved analytical model for subsurface scattering that captures translucency effects present in the reference solutions but remaining absent with existing models. The key difference is that our model is based on ray source diffusion, rather than point source diffusion. A ray source corresponds better to the light that refracts through the surface of a translucent material. Using this ray source, we are able to take the direction of the incident light ray and the direction toward the point of emergence into account. We use a dipole construction similar to that of the standard dipole model, but we now have positive and negative ray sources with a mirrored pair of directions. Our model is as computationally efficient as existing models while it includes single scattering without relying on a separate Monte Carlo simulation, and the rendered images are significantly closer to the references. Unlike some previous work, our model is fully analytic and requires no precomputation. Jeppe Revall Frisvad, Toshiya Hachisuka, Thomas Kim Kjeldsen |
ACM Trans. Graph. | 3 |