K
Kiril Vidimce
Researcher at Massachusetts Institute of Technology
Publications - 31
Citations - 1057
Kiril Vidimce is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Pipeline (software) & Shader. The author has an hindex of 14, co-authored 31 publications receiving 1020 citations. Previous affiliations of Kiril Vidimce include University of California & Mississippi State University.
Papers
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Proceedings ArticleDOI
Normal meshes
TL;DR: This work presents an algorithm to approximate any surface arbitrarily closely with a normal semi-regular mesh, which is useful in numerous applications such as compression, filtering, rendering, texturing, and modeling.
Journal ArticleDOI
OpenFab: a programmable pipeline for multi-material fabrication
TL;DR: OpenFab is presented, a programmable pipeline for synthesis of multi-material 3D printed objects that is inspired by RenderMan and modern GPU pipelines, and only a small fraction of the final volume is stored in memory and output is fed to the printer with little startup delay.
Patent
Methods and apparati for implementing programmable pipeline for three-dimensional printing including multi-material applications
Kiril Vidimce,Wojciech Matusik +1 more
TL;DR: In this paper, a programmable pipeline for synthesis of multi-material 3D printed objects supports procedural evaluation of geometric detail and material composition, using program modules allowing models to be specified easily and efficiently.
Journal ArticleDOI
Lpics: a hybrid hardware-accelerated relighting engine for computer cinematography
TL;DR: This paper presents an interactive cinematic lighting system used in the production of computer-animated feature films containing environments of very high complexity, in which surface and light appearances are described using procedural RenderMan shaders.
Journal ArticleDOI
Color contoning for 3D printing
TL;DR: This work introduces a simple and highly accurate spectral model that relies on a weighted regression of spectral absorptions for color prediction and results in a uniform color surface with virtually invisible spatial patterns on the surface of 3D printing.