Modular primitives for high-performance differentiable rendering
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2020/11/27
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Journal
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Indian UGC (journal)
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Refrences35
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Citations45
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Samuli Laine NVIDIA
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Janne Hellsten NVIDIA
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Tero Karras NVIDIA
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Yeongho Seol NVIDIA
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Jaakko Lehtinen NVIDIA and Aalto University
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Timo Aila NVIDIA
Abstract
Cite
Laine, Samuli, et al. “Modular Primitives for High-Performance Differentiable Rendering”. ACM Transactions on Graphics, vol. 39, no. 6, 2020, pp. 1-14, https://doi.org/10.1145/3414685.3417861.
Laine, S., Hellsten, J., Karras, T., Seol, Y., Lehtinen, J., & Aila, T. (2020). Modular primitives for high-performance differentiable rendering. ACM Transactions on Graphics, 39(6), 1-14. https://doi.org/10.1145/3414685.3417861
Laine, Samuli, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, and Timo Aila. “Modular Primitives for High-Performance Differentiable Rendering”. ACM Transactions on Graphics 39, no. 6 (2020): 1-14. https://doi.org/10.1145/3414685.3417861.
Laine S, Hellsten J, Karras T, Seol Y, Lehtinen J, Aila T. Modular primitives for high-performance differentiable rendering. ACM Transactions on Graphics. 2020;39(6):1-14.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Environment Mapping and Other Applications of World Projections | 1986 | |||
| Reparameterizing Discontinuous Integrands for Differentiable Rendering | 2019 | |||
| Differentiable Monte Carlo Ray Tracing through Edge Sampling | 2018 | |||
| ICML (Proceedings of Machine Learning Research | 2018 | |||
| Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning. In ICCV. | 2019 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| FaceRefiner: High-Fidelity Facial Texture Refinement With Differentiable Rendering-Based Style Transfer | IEEE Transactions on Multimedia |
| 2024 | |
| High-Fidelity Specular SVBRDF Acquisition From Flash Photographs | IEEE Transactions on Visualization and Computer Graphics |
| 2024 | |
Text‐to‐3D Shape Generation | Computer Graphics Forum |
| 2024 | |
Fast Digital Orthophoto Generation: A Comparative Study of Explicit and Implicit Methods | Remote Sensing |
| 2024 | |
| Illumination-guided inverse rendering benchmark: Learning real objects with few cameras | Computers & Graphics |
| 2 | 2023 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 38
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Large steps in inverse rendering of geometry and was published in 2021. The most recent citation comes from a 2024 study titled Text‐to‐3D Shape Generation. This article reached its peak citation in 2023, with 19 citations. It has been cited in 14 different journals, 14% of which are open access. Among related journals, the ACM Transactions on Graphics cited this research the most, with 23 citations. The chart below illustrates the annual citation trends for this article.