Relevant bibliographies by topics / Stroke-based rendering

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Stroke-based rendering'

Author: Grafiati
Published: 21 September 2024
Last updated: 19 July 2025

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Journal articles on the topic "Stroke-based rendering"

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Saito, Suguru, Akane Kani, Youngha Chang, and Masayuki Nakajima. "Curvature-based stroke rendering." Visual Computer 24, no. 1 (2007): 1–11. http://dx.doi.org/10.1007/s00371-007-0165-0.

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Hertzmann, A. "A survey of stroke-based rendering." IEEE Computer Graphics and Applications 23, no. 4 (2003): 70–81. http://dx.doi.org/10.1109/mcg.2003.1210867.

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Umenhoffer, Tamás, László Szirmay-Kalos, László Szécsi, Zoltán Lengyel, and Gábor Marinov. "An image-based method for animated stroke rendering." Visual Computer 34, no. 6-8 (2018): 817–27. http://dx.doi.org/10.1007/s00371-018-1531-9.

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Kang, Hyung W., Charles K. Chui, and Uday K. Chakraborty. "A unified scheme for adaptive stroke-based rendering." Visual Computer 22, no. 9-11 (2006): 814–24. http://dx.doi.org/10.1007/s00371-006-0066-7.

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Lee, Kyong Joon, Dong Hwan Kim, Il Dong Yun, and Sang Uk Lee. "Three-dimensional oil painting reconstruction with stroke based rendering." Visual Computer 23, no. 9-11 (2007): 873–80. http://dx.doi.org/10.1007/s00371-007-0142-7.

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Lee, Taemin, Beomsik Kim, Sanghyun Seo, and Kyunghyun Yoon. "Stroke Based Painterly Rendering with Mass Data through Auto Warping Generation." Computer Modeling in Engineering & Sciences 130, no. 3 (2022): 1441–57. http://dx.doi.org/10.32604/cmes.2022.018010.

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Levien, Raph, and Arman Uguray. "GPU-friendly Stroke Expansion." Proceedings of the ACM on Computer Graphics and Interactive Techniques 7, no. 3 (2024): 1–29. http://dx.doi.org/10.1145/3675390.

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Vector graphics includes both filled and stroked paths as the main primitives. While there are many techniques for rendering filled paths on GPU, stroked paths have proved more elusive. This paper presents a technique for performing stroke expansion, namely the generation of the outline representing the stroke of the given input path. Stroke expansion is a global problem, with challenging constraints on continuity and correctness. Nonetheless, we implement it using a fully parallel algorithm suitable for execution in a GPU compute shader, with minimal preprocessing. The output of our method ca
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Gao, Yiming, and Jiangqin Wu. "GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (2020): 646–53. http://dx.doi.org/10.1609/aaai.v34i01.5405.

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The automatic style translation of Chinese characters (CH-Char) is a challenging problem. Different from English or general artistic style transfer, Chinese characters contain a large number of glyphs with the complicated content and characteristic style. Early methods on CH-Char synthesis are inefficient and require manual intervention. Recently some GAN-based methods are proposed for font generation. The supervised GAN-based methods require numerous image pairs, which is difficult for many chirography styles. In addition, unsupervised methods often cause the blurred and incorrect strokes. Th
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COLLOMOSSE, J. P., and P. M. HALL. "SALIENCE-ADAPTIVE PAINTERLY RENDERING USING GENETIC SEARCH." International Journal on Artificial Intelligence Tools 15, no. 04 (2006): 551–75. http://dx.doi.org/10.1142/s0218213006002813.

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We present a new non-photorealistic rendering (NPR) algorithm for rendering photographs in an impasto painterly style. We observe that most existing image-based NPR algorithms operate in a spatially local manner, typically as non-linear image filters seeking to preserve edges and other high-frequency content. By contrast, we argue that figurative artworks are salience maps, and develop a novel painting algorithm that uses a genetic algorithm (GA) to search the space of possible paintings for a given image, so approaching an "optimal" artwork in which salient detail is conserved and non-salient
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Lukitasari, Marheny, Rusdi Hasan, Akhmad Sukri, and 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, no. 3 (2021): 948. http://dx.doi.org/10.11591/ijere.v10i3.21370.

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<span lang="EN-US"><span>The present study aimed to investigate the metacognitive ability of students using e-portfolio assessment in project-based learning classes. The projects were a set out a critical analysis based on the selected references (project 1) and set out of field activities based on the selected theme content (project 2). Student metacognitive ability consists of three phases, planning, implementation, and evaluation abilities that were assessed through e-portfolio assignments. There were 87 participants who divided into groups consisted of four to five students, co
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Dissertations / Theses on the topic "Stroke-based rendering"

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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.

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Dans le cadre de ma thèse, je m'intéresse à la problématique de la création d'animations 2D traditionnelles, où toutes les images sont réalisées à la main. Je cherche à explorer comment l'ordinateur peut aider les artistes à produire de manière plus efficace sans pour autant empiéter sur le spectre de la création artistique. Pour répondre à ce problème, mes travaux se placent dans le domaine des méthodes automatiques, où l'animateur travaille de manière itérative avec l'ordinateur. Je propose une méthode qui, à partir de deux images clés et d'une série de champs vectoriels 2D décrivant le mouv
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徐晟詠. "A Novel Stroke-Based Rendering Algorithm for Painting Styles." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/09729672688215730536.

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Book chapters on the topic "Stroke-based rendering"

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Vanderhaeghe, David, and John Collomosse. "Stroke Based Painterly Rendering." In Computational Imaging and Vision. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4519-6_1.

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Xie, Ning, Mengyuan Ren, Wu Yang, Yang Yang, and Heng Tao Shen. "WebPainter: Collaborative Stroke-Based Rendering Through HTML5 and WebGL." In E-Learning and Games. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65849-0_22.

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Lai, Buying, Xiaoming Wang, and Lifei You. "Non-Photorealistic Tree Creating Based on Stroke and Multipass Rendering." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34531-9_87.

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Putri, Tieta, and 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. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31008-4_11.

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Conference papers on the topic "Stroke-based rendering"

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Yamane, Hisaki, Yasuaki Ito, and 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.

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Sawada, Tomoya, and Marie Katsurai. "MambaPainter: Neural Stroke-Based Rendering in a Single Step." In SA '24: SIGGRAPH Asia 2024 Posters. ACM, 2024. https://doi.org/10.1145/3681756.3697906.

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Mukundan, 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.

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Seah, Hock Soon, Budianto Tandianus, and 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.

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eXpressive B-Spline Curve (XBSC) is a resolution-independent and computationally efficient technique for vector-based stroke modeling and rendering with the flexibility in defining and adjusting the shape and other parameters of the stroke. It generalizes the existing Disk B-Spline Curve (DBSC) geometric representation, which itself is a generalization of the Disk Bézier curve. XBSC allows flexible shape and color manipulation and rendering of strokes with asymmetrical shape control and rich color management. These properties make XBSC suitable for modeling freeform stroke shapes and animation
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Ilinkin, Ivaylo, Daeun Song, and 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.

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Xu, Tian-Chen, Li-Jie Yang, and En-Hua Wu. "Stroke-based real-time ink wash painting style rendering for geometric models." In SIGGRAPH Asia 2012 Technical Briefs. ACM Press, 2012. http://dx.doi.org/10.1145/2407746.2407765.

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Tong, Zhengyan, Xiaohang Wang, Shengchao Yuan, Xuanhong Chen, Junjie Wang, and 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. ACM, 2022. http://dx.doi.org/10.1145/3503161.3547759.

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Wu, Rundong, Zhili Chen, Zhaowen Wang, Jimei Yang, and 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. ACM, 2018. http://dx.doi.org/10.1145/3229147.3229150.

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Tamagna, D., E. Musu, and 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.

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Homogeneous-charge, compression-ignition (HCCI) combustion is triggered by spontaneous ignition in diluted homogeneous mixtures and has a gradual trend thanks to suitable solutions. It is considered a very effective way to reduce engine pollutant emissions, however only experimental prototypes have been based on this concept, except for a few small two-stroke engines. HCCI combustion is feasible with fuels both for S.I. and for C.I. engines, but currently it does not cover the whole engine operating field, thus the engine must be built to operate also as a conventional engine. In order to obta
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Patil, Chaitanya, Gerasimos Theotokatos, and 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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First principle Digital Twins (DT) for marine engines are widely used to estimate in-cylinder pressure, which is a key parameter informing health of ship power plants. However, development and application of DT faces barriers, as they require exhaustive calibration and high computational power, which render their implementation for shipboard systems challenging. This study aims at developing a data-driven DT of low computational cost for predicting instantaneous pressure. Two different approaches using Artificial Neural Networks (ANN) with distinct input parameters are assessed. The first pred
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