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Beyzanur Coban

dblp:421/5752 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0006-9584-0783ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021

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
Visual content generation and editing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visual content generation and editing › style transfer › 3d content stylization
3d scene stylization
0.912025
Shaping Strands with Neural Style Transfer · ACM Trans. Graph. 2025
Visual content generation and editing › style transfer
neural style transfer
0.912025
Shaping Strands with Neural Style Transfer · ACM Trans. Graph. 2025
Visual content generation and editing
style transfer
0.912025
Shaping Strands with Neural Style Transfer · ACM Trans. Graph. 2025

Methods — techniques the papers use, named apart from their topics

neural style transfer · 0.9
YearPublicationVenuePosition
2025 Shaping Strands with Neural Style Transfer
abstract
The intricate geometric complexity of knots, tangles, dreads and clumps require sophisticated grooming systems that allow artists to both realistically model and artistically control fur and hair systems. Recent volumetric and 3D neural style transfer techniques provided a new paradigm of art directability, allowing artists to modify assets drastically with the use of single style images. However, these previous 3D neural stylization approaches were limited to volumes and meshes. In this paper we propose the first stylization pipeline to support hair and fur. Through a carefully tailored fur/hair representation, our approach allows complex, 3D consistent and temporally coherent grooms that are stylized using style images.
Beyzanur Coban, Pascal Chang, Guilherme G. Haetinger, Jingwei Tang, Vinicius C. Azevedo
ACM Trans. Graph.1