Large steps in inverse rendering of geometry

Article Properties
  • Language
    English
  • Publication Date
    2021/12/01
  • Indian UGC (journal)
  • Refrences
    51
  • Citations
    20
  • Baptiste Nicolet École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
  • Alec Jacobson University of Toronto, Canada
  • Wenzel Jakob École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
Abstract
Cite
Nicolet, Baptiste, et al. “Large Steps in Inverse Rendering of Geometry”. ACM Transactions on Graphics, vol. 40, no. 6, 2021, pp. 1-13, https://doi.org/10.1145/3478513.3480501.
Nicolet, B., Jacobson, A., & Jakob, W. (2021). Large steps in inverse rendering of geometry. ACM Transactions on Graphics, 40(6), 1-13. https://doi.org/10.1145/3478513.3480501
Nicolet, Baptiste, Alec Jacobson, and Wenzel Jakob. “Large Steps in Inverse Rendering of Geometry”. ACM Transactions on Graphics 40, no. 6 (2021): 1-13. https://doi.org/10.1145/3478513.3480501.
Nicolet B, Jacobson A, Jakob W. Large steps in inverse rendering of geometry. ACM Transactions on Graphics. 2021;40(6):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
Refrences
Title Journal Journal Categories Citations Publication Date
Symposium on Geometry Processing graduate school 2014
Wise 2021
Accelerating 3D Deep Learning with PyTorch3D. arXiv:2007.08501 2020
Laplacian Smoothing Gradient Descent. CoRR abs/1806.06317 2018
Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 2014
Citations
Title Journal Journal Categories Citations Publication Date
Neural Garment Dynamics via Manifold‐Aware Transformers

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
Computing Weak Distance between the 2-Sphere and Its Nonsmooth Approximations SIAM Journal on Scientific Computing
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
2024
In Situ Enhancement of Heliostat Calibration Using Differentiable Ray Tracing and Artificial Intelligence

SolarPACES Conference Proceedings
  • Science: Physics
2024
Adaptively weighted discrete Laplacian for inverse rendering The Visual Computer
  • 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
Unified shape and appearance reconstruction with joint camera parameter refinement Graphical Models
  • Science
  • Technology: Technology (General)
  • 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 16 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Depth of Field Aware Differentiable Rendering and was published in 2022. The most recent citation comes from a 2024 study titled Neural Garment Dynamics via Manifold‐Aware Transformers. This article reached its peak citation in 2022, with 9 citations. It has been cited in 10 different journals, 30% of which are open access. Among related journals, the ACM Transactions on Graphics cited this research the most, with 8 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year