TY - CONF
T1 - Stroke style transfer
AU - Shaheen, Sara
AU - Ghanem, Bernard
N1 - Funding Information:
Limitations Our proposed method is just the start towards achieving a comprehensive sketch style transfer. It only modifies existing strokes with no elimination or addition of strokes. Although this helps in applying changes where the difference between styles is minor, there is a great potential of improvement in progressive research work which enables major transformations. Acknowledgments This work was supported by competitive research funding from King Abdullah University of Science and Technology (KAUST).
Publisher Copyright:
Eurographics Proceedings © 2017 The Eurographics Association.
PY - 2017
Y1 - 2017
N2 - We propose a novel method to transfer sketch style at the stroke level from one free-hand line drawing to another, whereby these drawings can be from different artists. It aims to transfer the style of the input sketch at the stroke level to the style encountered in sketches by other artists. This is done by modifying all the parametric stroke segments in the input, so as to minimize a global stroke-level distance between the input and target styles. To do this, we exploit a recent work on stroke authorship recognition to define the stroke-level distance [SRG15], which is in turn minimized using conventional optimization tools. We showcase the quality of style transfer qualitatively by applying the proposed technique on several input-target combinations.
AB - We propose a novel method to transfer sketch style at the stroke level from one free-hand line drawing to another, whereby these drawings can be from different artists. It aims to transfer the style of the input sketch at the stroke level to the style encountered in sketches by other artists. This is done by modifying all the parametric stroke segments in the input, so as to minimize a global stroke-level distance between the input and target styles. To do this, we exploit a recent work on stroke authorship recognition to define the stroke-level distance [SRG15], which is in turn minimized using conventional optimization tools. We showcase the quality of style transfer qualitatively by applying the proposed technique on several input-target combinations.
UR - http://www.scopus.com/inward/record.url?scp=85084385778&partnerID=8YFLogxK
U2 - 10.2312/egsh.20171013
DO - 10.2312/egsh.20171013
M3 - Paper
AN - SCOPUS:85084385778
SP - 53
EP - 56
T2 - 38th Annual Conference on European Association for Computer Graphics, EUROGRAPHICS 2017
Y2 - 24 April 2017 through 28 April 2017
ER -