Recursive Control Variates for Inverse Rendering
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2023/07/26
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Journal
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Indian UGC (journal)
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Refrences90
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Citations3
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Baptiste Nicolet Ecole Polytechnique Fédérale de Lausanne, Lausanne, SwitzerlandNVIDIA, Lausanne, Switzerland ORCID (unauthenticated)
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Fabrice Rousselle NVIDIA, Zurich, Switzerland ORCID (unauthenticated)
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Jan Novak NVIDIA, Prague, Czech Republic ORCID (unauthenticated)
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Alexander Keller NVIDIA, Berlin, Germany ORCID (unauthenticated)
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Wenzel Jakob Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland ORCID (unauthenticated)
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Thomas Müller NVIDIA, Zurich, Switzerland ORCID (unauthenticated)
Abstract
Cite
Nicolet, Baptiste, et al. “Recursive Control Variates for Inverse Rendering”. ACM Transactions on Graphics, vol. 42, no. 4, 2023, pp. 1-13, https://doi.org/10.1145/3592139.
Nicolet, B., Rousselle, F., Novak, J., Keller, A., Jakob, W., & Müller, T. (2023). Recursive Control Variates for Inverse Rendering. ACM Transactions on Graphics, 42(4), 1-13. https://doi.org/10.1145/3592139
Nicolet, Baptiste, Fabrice Rousselle, Jan Novak, Alexander Keller, Wenzel Jakob, and Thomas Müller. “Recursive Control Variates for Inverse Rendering”. ACM Transactions on Graphics 42, no. 4 (2023): 1-13. https://doi.org/10.1145/3592139.
Nicolet B, Rousselle F, Novak J, Keller A, Jakob W, Müller T. Recursive Control Variates for Inverse Rendering. ACM Transactions on Graphics. 2023;42(4):1-13.
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 |
|---|---|---|---|---|
Differentiable Rendering Using RGBXY Derivatives and Optimal Transport | ACM Transactions on Graphics |
| 2 | 2022 |
Inverse volume rendering with material dictionaries | ACM Transactions on Graphics |
| 59 | 2013 |
| Generalized resampled importance sampling: foundations of ReSTIR | 2022 | |||
| Interactive Reconstruction of Monte Carlo Image Sequences Using a Recurrent Denoising Autoencoder | ACM Transactions on Graphics |
| 2017 | |
| Differentiable Monte Carlo Ray Tracing through Edge Sampling | 2018 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Unifying radiative transfer models in computer graphics and remote sensing, Part I: A survey | Journal of Quantitative Spectroscopy and Radiative Transfer |
| 2024 | |
Importance Sampling BRDF Derivatives | ACM Transactions on Graphics |
| 2024 | |
Amortizing Samples in Physics-Based Inverse Rendering Using ReSTIR | ACM Transactions on Graphics |
| 1 | 2023 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software 2
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Amortizing Samples in Physics-Based Inverse Rendering Using ReSTIR and was published in 2023. The most recent citation comes from a 2024 study titled Importance Sampling BRDF Derivatives. This article reached its peak citation in 2024, with 2 citations. It has been cited in 2 different journals. Among related journals, the ACM Transactions on Graphics cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.