Path-space differentiable rendering of participating media

Article Properties
  • Language
    English
  • Publication Date
    2021/07/19
  • Indian UGC (journal)
  • Refrences
    31
  • Citations
    19
  • Cheng Zhang University of California
  • Zihan Yu University of California
  • Shuang Zhao University of California
Abstract
Cite
Zhang, Cheng, et al. “Path-Space Differentiable Rendering of Participating Media”. ACM Transactions on Graphics, vol. 40, no. 4, 2021, pp. 1-15, https://doi.org/10.1145/3450626.3459782.
Zhang, C., Yu, Z., & Zhao, S. (2021). Path-space differentiable rendering of participating media. ACM Transactions on Graphics, 40(4), 1-15. https://doi.org/10.1145/3450626.3459782
Zhang, Cheng, Zihan Yu, and Shuang Zhao. “Path-Space Differentiable Rendering of Participating Media”. ACM Transactions on Graphics 40, no. 4 (2021): 1-15. https://doi.org/10.1145/3450626.3459782.
Zhang C, Yu Z, Zhao S. Path-space differentiable rendering of participating media. ACM Transactions on Graphics. 2021;40(4):1-15.
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
Refrences
Title Journal Journal Categories Citations Publication Date
Proc. Conf. Applications of Computing Methods to Reactor Problems 1965
Towards Learning-based Inverse Subsurface Scattering. In 2020 IEEE International Conference on Computational Photography (ICCP). IEEE, 1--12 2020
Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 2014
The Rendering Equation. In SIGGRAPH '86 1986
Robust Monte Carlo methods for light transport simulation
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
  • Science: Chemistry: Analytical chemistry
  • Science: Physics: Optics. Light
  • Science: Chemistry: Analytical chemistry
  • Science: Chemistry
2024
Importance Sampling BRDF Derivatives

ACM Transactions on Graphics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2024
Neural Monte Carlo rendering of finite-time Lyapunov exponent fields

Visual Intelligence
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Physiology: Neurophysiology and neuropsychology
2023
Efficient Path‐Space Differentiable Volume Rendering With Respect To Shapes

Computer Graphics Forum
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2023
A Differential Diffusion Theory for Participating Media

Computer Graphics Forum
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2023
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 18 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Shadow Layers for Participating Media and was published in 2021. The most recent citation comes from a 2024 study titled Importance Sampling BRDF Derivatives. This article reached its peak citation in 2023, with 6 citations. It has been cited in 5 different journals, 20% of which are open access. Among related journals, the ACM Transactions on Graphics cited this research the most, with 13 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year