Updated: August 11, 2022 |
Stroke Transfer: Example-based Synthesis of Animatable Stroke Styles Hideki Todo1,*, Kunihiko Kobayashi1,*, Jin Katsuragi1, Haruna Shimotahira1, Shizuo Kaji2, Yonghao Yue1 1Aoyama Gakuin University (AGU) 2Kyushu University *Authors contributed equally. |
Abstract:
We present stroke transfer, an example-based synthesis method of brushstrokes for animated scenes under changes in viewpoint, lighting conditions, and object shapes. We introduce stroke field for guiding the generation of strokes, consisting of spatially varying attributes of strokes, namely, their orientations, lengths, widths, and colors. Strokes are synthesized as the integral curves of the stroke field. In essence, we separate elements that constitute the artistic stroke into style-specific transferable elements and instance-intrinsic ones. To generate the stroke field, we first compute a set of vector fields that reflect the instance-intrinsic elements and then combine them using style-specific weight functions learned from exemplars, with the weights computed in a proxy feature space shared among a variety of objects. The rendered animation using our method captures time-varying viewpoint, lighting conditions, and object shapes, as well as the artistic style given in the form of exemplars. Keywords:Non-photorealistic rendering, stroke-based rendering, examplebased, stroke transfer, vector field generation Acknowledgements:We thank the anonymous reviewers for their insightful suggestions and discussions. This work was supported in part by a grant from JST FOREST Program, JPMJFR206R, Japan, a JSPS Grant-in-Aid for Scientific Research (A) 18H04106, Japan, and a JSPS Grant-in-Aid for Scientific Research (C) 22K12051, Japan. SIGGRAPH '22 Conference Proceedings, August 7-11, 2022, Vancouver, BC, Canada. doi:10.1145/3528233.3530703 Paper: PDF(74.1MB)Video: youtube video | High res MP4(396.7MB) Supplementary mateiral: PDF(7.3MB) Code: Github repository BibTex @inproceedings{ST:2022, author = {Todo, Hideki and Kobayashi, Kunihiko and Katsuragi, Jin and Shimotahira, Haruna and Kaji, Shizuo and Yue, Yonghao}, title = {Stroke Transfer: Example-based Synthesis of Animatable Stroke Styles}, booktitle = {SIGGRAPH '22 Conference Proceedings}, year = {2022}, pages = {1--10}, numpages = {10}, doi = {10.1145/3528233.3530703} } |