Differentiable signed distance function rendering

Article Properties
  • Language
    English
  • Publication Date
    2022/07/01
  • Indian UGC (journal)
  • Refrences
    70
  • Citations
    16
  • Delio Vicini École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
  • Sébastien Speierer École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
  • Wenzel Jakob École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
Abstract
Cite
Vicini, Delio, et al. “Differentiable Signed Distance Function Rendering”. ACM Transactions on Graphics, vol. 41, no. 4, 2022, pp. 1-18, https://doi.org/10.1145/3528223.3530139.
Vicini, D., Speierer, S., & Jakob, W. (2022). Differentiable signed distance function rendering. ACM Transactions on Graphics, 41(4), 1-18. https://doi.org/10.1145/3528223.3530139
Vicini, Delio, Sébastien Speierer, and Wenzel Jakob. “Differentiable Signed Distance Function Rendering”. ACM Transactions on Graphics 41, no. 4 (2022): 1-18. https://doi.org/10.1145/3528223.3530139.
Vicini D, Speierer S, Jakob W. Differentiable signed distance function rendering. ACM Transactions on Graphics. 2022;41(4):1-18.
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
Large Steps in Inverse Rendering of Geometry 2021
Nonlinear sphere tracing for rendering deformed signed distance fields 2019
An Efficient Method of Triangulating Equi-Valued Surfaces by Using Tetrahedral Cells 1991
Modular Primitives for High-Performance Differentiable Rendering 2020
Unbiased Warped-Area Sampling for Differentiable Rendering 2020
Citations
Title Journal Journal Categories Citations Publication Date
M-NeuS: volume rendering based surface reconstruction and material estimation Computer Aided Geometric Design
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • 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
A neural network finite element method for contact mechanics Computer Methods in Applied Mechanics and Engineering
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2024
Perceptual Quality Assessment of NeRF and Neural View Synthesis Methods for Front‐Facing Views

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
2024
Deep learning applications in games: a survey from a data perspective Applied Intelligence
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2023
Illumination-guided inverse rendering benchmark: Learning real objects with few cameras Computers & 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
2 2023
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 16 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Differentiable Rendering Using RGBXY Derivatives and Optimal Transport and was published in 2022. The most recent citation comes from a 2024 study titled M-NeuS: volume rendering based surface reconstruction and material estimation. This article reached its peak citation in 2023, with 11 citations. It has been cited in 9 different journals, 11% of which are open access. Among related journals, the ACM Transactions on Graphics cited this research the most, with 5 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year