The DOI matches its Crossref record.
WYSIWYG NPR: drawing strokes directly on 3D models
Abstract
We present a system that lets a designer directly annotate a 3D model with strokes, imparting a personal aesthetic to the non-photorealistic rendering of the object. The artist chooses a "brush" style, then draws strokes over the model from one or more viewpoints. When the system renders the scene from any new viewpoint, it adapts the number and placement of the strokes appropriately to maintain the original look.
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Citations
Cited by
Controlling Perceptual Factors in Neural Style Transfer
Gatys, L. A., Ecker, A. S., Bethge, M., Hertzmann, A., & Shechtman, E. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.397 · Cited by 486
Suggestive contours for conveying shape
DeCarlo, D., Finkelstein, A., Rusinkiewicz, S., & Santella, A. (2003) · ACM Transactions on Graphics · doi:10.1145/882262.882354 · Cited by 466
Self-citationMim, N. J., Nandi, D., Khan, S. S., Dey, A., & Ahmed, S. I. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3641951 · Cited by 42
Metadata
- Authors
- Kalnins, R. D., Markosian, L., Meier, B. J., Kowalski, M. A., Lee, J. C., Davidson, P. L., Webb, M., Hughes, J. F., & Finkelstein, A.
- Venue
- Proceedings of the 29th annual conference on Computer graphics and interactive techniques
- Publisher
- ACM
- Published
- 2002-07
- Pages
- 755-762
- OpenAlex
- W2243570189
- Cited by
- 194
- References
- 0
- FWCI
- 9.90
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: WYSIWYG NPR: drawing strokes directly on 3D models. https://app.cochat.ai/papers/10.1145/566570.566648
- The paper
- Kalnins, R. D., Markosian, L., Meier, B. J., Kowalski, M. A., Lee, J. C., Davidson, P. L., Webb, M., Hughes, J. F., & Finkelstein, A. (2002). WYSIWYG NPR: drawing strokes directly on 3D models. Proceedings of the 29th annual conference on Computer graphics and interactive techniques. https://doi.org/10.1145/566570.566648
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.
