The DOI matches its Crossref record.
Computer-generated pen-and-ink illustration
Open accessAbstract
This paper describes the principles of traditional pen-and-ink illustration, and shows how a great number of them can be implemented as part of an automated rendering system. It introduces “stroke textures,” which can be used for achieving both texture and tone with line drawing. Stroke textures also allow resolution-dependent rendering, in which the choice of strokes used in an illustration is appropriately tied to the resolution of the target medium. We demonstrate these techniques using complex architectural models, including Frank Lloyd Wright's “Robie House.”
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Citations
Cited by
Winnemöller, H., Olsen, S. C., & Gooch, B. (2006) · ACM Transactions on Graphics · doi:10.1145/1141911.1142018 · Cited by 533
Generating Manga from Illustrations via Mimicking Manga Creation Workflow
Zhang, L., Wang, X., Fan, Q., Ji, Y., & Liu, C. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr46437.2021.00559 · Cited by 20
Metadata
- Authors
- Winkenbach, G., & Salesin, D. H.
- Venue
- Proceedings of the 21st annual conference on Computer graphics and interactive techniques - SIGGRAPH '94
- Publisher
- ACM Press
- Published
- 1994
- Pages
- 91-100
- OpenAlex
- W2075046998
- Cited by
- 444
- References
- 0
- FWCI
- 6.50
- Type
- conference paper
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Computer-generated pen-and-ink illustration. https://app.cochat.ai/papers/10.1145/192161.192184
- The paper
- Winkenbach, G., & Salesin, D. H. (1994). Computer-generated pen-and-ink illustration. Proceedings of the 21st annual conference on Computer graphics and interactive techniques - SIGGRAPH '94. https://doi.org/10.1145/192161.192184
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
