Auswahl der wissenschaftlichen Literatur zum Thema „Stroke-based rendering“
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Zeitschriftenartikel zum Thema "Stroke-based rendering"
Saito, Suguru, Akane Kani, Youngha Chang und Masayuki Nakajima. „Curvature-based stroke rendering“. Visual Computer 24, Nr. 1 (08.08.2007): 1–11. http://dx.doi.org/10.1007/s00371-007-0165-0.
Der volle Inhalt der QuelleHertzmann, A. „A survey of stroke-based rendering“. IEEE Computer Graphics and Applications 23, Nr. 4 (Juli 2003): 70–81. http://dx.doi.org/10.1109/mcg.2003.1210867.
Der volle Inhalt der QuelleUmenhoffer, Tamás, László Szirmay-Kalos, László Szécsi, Zoltán Lengyel und Gábor Marinov. „An image-based method for animated stroke rendering“. Visual Computer 34, Nr. 6-8 (08.05.2018): 817–27. http://dx.doi.org/10.1007/s00371-018-1531-9.
Der volle Inhalt der QuelleKang, Hyung W., Charles K. Chui und Uday K. Chakraborty. „A unified scheme for adaptive stroke-based rendering“. Visual Computer 22, Nr. 9-11 (23.08.2006): 814–24. http://dx.doi.org/10.1007/s00371-006-0066-7.
Der volle Inhalt der QuelleLee, Kyong Joon, Dong Hwan Kim, Il Dong Yun und Sang Uk Lee. „Three-dimensional oil painting reconstruction with stroke based rendering“. Visual Computer 23, Nr. 9-11 (15.06.2007): 873–80. http://dx.doi.org/10.1007/s00371-007-0142-7.
Der volle Inhalt der QuelleLee, Taemin, Beomsik Kim, Sanghyun Seo und Kyunghyun Yoon. „Stroke Based Painterly Rendering with Mass Data through Auto Warping Generation“. Computer Modeling in Engineering & Sciences 130, Nr. 3 (2022): 1441–57. http://dx.doi.org/10.32604/cmes.2022.018010.
Der volle Inhalt der QuelleLevien, Raph, und Arman Uguray. „GPU-friendly Stroke Expansion“. Proceedings of the ACM on Computer Graphics and Interactive Techniques 7, Nr. 3 (09.08.2024): 1–29. http://dx.doi.org/10.1145/3675390.
Der volle Inhalt der QuelleGao, Yiming, und Jiangqin Wu. „GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering“. Proceedings of the AAAI Conference on Artificial Intelligence 34, Nr. 01 (03.04.2020): 646–53. http://dx.doi.org/10.1609/aaai.v34i01.5405.
Der volle Inhalt der QuelleCOLLOMOSSE, J. P., und P. M. HALL. „SALIENCE-ADAPTIVE PAINTERLY RENDERING USING GENETIC SEARCH“. International Journal on Artificial Intelligence Tools 15, Nr. 04 (August 2006): 551–75. http://dx.doi.org/10.1142/s0218213006002813.
Der volle Inhalt der QuelleLukitasari, Marheny, Rusdi Hasan, Akhmad Sukri und Jeffry Handhika. „Developing student’s metacognitive ability in science through project-based learning with e-portfolio“. International Journal of Evaluation and Research in Education (IJERE) 10, Nr. 3 (01.09.2021): 948. http://dx.doi.org/10.11591/ijere.v10i3.21370.
Der volle Inhalt der QuelleDissertationen zum Thema "Stroke-based rendering"
Barroso, Nicolas. „Génération d'images intermédiaires pour la création d'animations 2D stylisées à base de marques“. Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSES083.
Der volle Inhalt der QuelleAs part of my thesis, I am interested in the issue of creating traditional 2D animations, where all the images are handcrafted. Specifically, I explore how computers can assist artists in producing animations efficiently without reducing the artistic creative process. To address this problem, my work falls within the scope of automatic methods, where the animator collaborates iteratively with the computer. I propose a method that takes two keyframe images and a series of 2D vector fields describing the motion in image space of the animation, and generates intermediate images while preserving the given style as an example. My method combines two manual animation techniques: pose-to-pose and frame-by-frame animation, providing strong control by allowing any generated image to be edited in the same way as the example images provided. My research covers several domains: motion analysis, 2D curve control, mark-based rendering, and paint simulation
徐晟詠. „A Novel Stroke-Based Rendering Algorithm for Painting Styles“. Thesis, 2004. http://ndltd.ncl.edu.tw/handle/09729672688215730536.
Der volle Inhalt der QuelleBuchteile zum Thema "Stroke-based rendering"
Vanderhaeghe, David, und John Collomosse. „Stroke Based Painterly Rendering“. In Computational Imaging and Vision, 3–21. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4519-6_1.
Der volle Inhalt der QuelleXie, Ning, Mengyuan Ren, Wu Yang, Yang Yang und Heng Tao Shen. „WebPainter: Collaborative Stroke-Based Rendering Through HTML5 and WebGL“. In E-Learning and Games, 210–17. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65849-0_22.
Der volle Inhalt der QuelleLai, Buying, Xiaoming Wang und Lifei You. „Non-Photorealistic Tree Creating Based on Stroke and Multipass Rendering“. In Lecture Notes in Electrical Engineering, 819–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34531-9_87.
Der volle Inhalt der QuellePutri, Tieta, und Ramakrishnan Mukundan. „Iterative Brush Path Extraction Algorithm for Aiding Flock Brush Simulation of Stroke-Based Painterly Rendering“. In Evolutionary and Biologically Inspired Music, Sound, Art and Design, 152–62. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31008-4_11.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Stroke-based rendering"
Yamane, Hisaki, Yasuaki Ito und Koji Nakano. „A Watercolor Painting Image Generation Using Stroke-Based Rendering“. In 2019 Seventh International Symposium on Computing and Networking Workshops (CANDARW). IEEE, 2019. http://dx.doi.org/10.1109/candarw.2019.00088.
Der volle Inhalt der QuelleMukundan, Ramakrishnan. „Multi-level stroke textures for sketch based non-photorealistic rendering“. In 2015 International Conference and Workshop on Computing and Communication (IEMCON). IEEE, 2015. http://dx.doi.org/10.1109/iemcon.2015.7344505.
Der volle Inhalt der QuelleSeah, Hock Soon, Budianto Tandianus und Yiliang Sui. „Modeling and Rendering with eXpressive B-Spline Curves“. In WSCG 2023 – 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision. University of West Bohemia, Czech Republic, 2023. http://dx.doi.org/10.24132/csrn.3301.10.
Der volle Inhalt der QuelleIlinkin, Ivaylo, Daeun Song und Young J. Kim. „Stroke-Based Rendering and Planning for Robotic Performance of Artistic Drawing“. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2023. http://dx.doi.org/10.1109/iros55552.2023.10341808.
Der volle Inhalt der QuelleXu, Tian-Chen, Li-Jie Yang und En-Hua Wu. „Stroke-based real-time ink wash painting style rendering for geometric models“. In SIGGRAPH Asia 2012 Technical Briefs. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2407746.2407765.
Der volle Inhalt der QuelleTong, Zhengyan, Xiaohang Wang, Shengchao Yuan, Xuanhong Chen, Junjie Wang und Xiangzhong Fang. „Im2Oil: Stroke-Based Oil Painting Rendering with Linearly Controllable Fineness Via Adaptive Sampling“. In MM '22: The 30th ACM International Conference on Multimedia. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3503161.3547759.
Der volle Inhalt der QuelleWu, Rundong, Zhili Chen, Zhaowen Wang, Jimei Yang und Steve Marschner. „Brush stroke synthesis with a generative adversarial network driven by physically based simulation“. In Expressive '18: Joint Symposium on Computational Aesthetics and Sketch Based Interfaces and Modeling and Non-Photorealistic Animation and Rendering. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3229147.3229150.
Der volle Inhalt der QuelleTamagna, D., E. Musu und R. Gentili. „A Preliminary Study Towards an Innovative Diesel HCCI Combustion“. In ASME 2007 Internal Combustion Engine Division Fall Technical Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/icef2007-1743.
Der volle Inhalt der QuellePatil, Chaitanya, Gerasimos Theotokatos und Konstantinos Milioulis. „In-cylinder pressure prediction for marine engines using machine learning“. In SNAME 8th International Symposium on Ship Operations, Management and Economics. SNAME, 2023. http://dx.doi.org/10.5957/some-2023-014.
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