Technical Papers
Artistic Rendering & Stylization
Wednesday, 24 July 3:45 PM - 5:35 PM
Session Chair: Wilmot Li, Adobe Systems Incorporated
Wednesday, 24 July 3:45 PM - 5:35 PM
Session Chair: Wilmot Li, Adobe Systems Incorporated
This paper revisits the brush and fill tools for digital image painting. The method offers the user entire images as a palette to easily create richly textured results in real time, enabling applications such as interactive image creation and vector image stylization.
Michal Lukac
Czech Technical University in Prague
Jakub Fiser
Czech Technical University in Prague
Jean-Charles Bazin
ETH Zürich
Ondrej Jamriska
Czech Technical University in Prague
Alexander Sorkine-Hornung
Disney Research Zürich
Daniel Sykora
Czech Technical University in Prague
Conventional digital painting systems rely on procedural rules and physical simulation to render paint strokes. This paper presents an interactive, data-driven painting system that uses scanned images of real natural media to synthesize both new strokes and complex stroke interactions, obviating the need for physical simulation.
Jingwan Lu
Princeton University
Connelly Barnes
Adobe Systems Incorporated
Stephen DiVerdi
Google Inc., Adobe Systems Incorporated
Adam Finkelstein
Princeton University
These vector shade trees bring to vector graphics the flexibility of modular shading. The paper proposes a set of basic shade nodes designed to respect traditional artistic guidelines on material depiction. The nodes encapsulate creation and blending of vector primitives that vector artists routinely use.
Jorge Lopez-Moreno
REVES/INRIA Sophia Antipolis
Stefan Popov
REVES/INRIA Sophia-Antipolis
Adrien Bousseau
REVES/INRIA Sophia-Antipolis
Maneesh Agrawala
University of California, Berkeley
George Drettakis
REVES/INRIA Sophia-Antipolis
Extending the method of Image Analogies, this method creates temporally coherent stylized animations by example. To make the method art directable, it allows artists to paint keyframes that are used as constraints. The in-betweens calculated by this method maintain stylistic continuity and yet change no more than necessary over time.
Pierre Bénard
University of Toronto
Forrester Cole
Pixar Animation Studios
Michael Kass
Pixar Animation Studios
Igor Mordatch
University of Washington
James Hegarty
Stanford University
Martin Sebastian Senn
Pixar Animation Studios
Kurt Fleischer
Pixar Animation Studios
Davide Pesare
Pixar Animation Studios
Katherine Breeden
Stanford University
For visualizing dense line fields, this method selects lines by view-dependent opacity optimizations and applies them to real-time free navigation in flow data, medical imaging, physics, and computer graphics.
Tobias Günther
Otto-von-Guericke-Universität Magdeburg
Christian Roessl
Otto-von-Guericke-Universität Magdeburg
Holger Theisel
Otto-von-Guericke-Universität Magdeburg