Hiroyuki Sakai
Projektass. Dipl.-Ing. / BSc
Role
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PreDoc Researcher
Computer Graphics, E193-02
Projects
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Toward Optimal Path Guiding for Photorealistic Rendering
2023 – 2027 / Vienna Science and Technology Fund (WWTF)
Publications: 190854 / 209940 / 216172
Publications
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A Statistical Approach to Monte Carlo Denoising
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Sakai, H., Freude, C., Auzinger, T., Hahn, D., & Wimmer, M. (2024). A Statistical Approach to Monte Carlo Denoising. In SA ’24: SIGGRAPH Asia 2024 Conference Papers. SA ’24: SIGGRAPH Asia 2024, Tokyo, Japan. Association for Computing Machinery. https://doi.org/10.1145/3680528.3687591
Download: A Statistical Approach to Monte Carlo Denoising (14.1 MB)
Project: PathGuideWWTF (2023–2027) -
Sampling-Distribution-Based Evaluation for Monte Carlo Rendering
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Freude, C., Sakai, H., Zsolnai-Fehér, K., & Wimmer, M. (2023). Sampling-Distribution-Based Evaluation for Monte Carlo Rendering. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 119–130). Scitepress. https://doi.org/10.34726/3841
Download: PDF (8.26 MB)
Projects: A Test Suite for Photorealistic Rendering and Filtering (2017–2020) / ACD (2020–2028) - Forced Random Sampling: fast generation of importance-guided blue-noise samples / Cornel, D., Sakai, H., Luksch, C., & Wimmer, M. (2017). Forced Random Sampling: fast generation of importance-guided blue-noise samples. In The Visual Computer (pp. 833–843). The Visual Computer. http://hdl.handle.net/20.500.12708/56977
- Exploiting a priori information for filtering Mone Carlo renderings / Sakai, H. (2015). Exploiting a priori information for filtering Mone Carlo renderings [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/79782
- Fußgängernavigation im urbanen Raum - Designvorschlag / Zargamy, A., Sakai, H., Oberwandling, G., & Ganhör, R. (2013). Fußgängernavigation im urbanen Raum - Designvorschlag. In Mensch & Computer 2013 - Tagungsband (pp. 365–368). Oldenbourg Wissenschaftsverlag. https://doi.org/10.1524/9783486781229.365
Supervisions
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Accelerating ray tracing using FPGAs
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Reznicek, A. (2020). Accelerating ray tracing using FPGAs [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.45543
Download: PDF (9.33 MB)