Instantaneous foveated preview for progressive Monte Carlo rendering

被引:8
|
作者
Koskela M.K. [1 ]
Immonen K.V. [1 ]
Viitanen T.T. [1 ]
Jääskeläinen P.O. [1 ]
Multanen J.I. [1 ]
Takala J.H. [1 ]
机构
[1] Tampere University of Technology, Tampere
关键词
360°; content; foveated rendering; Monte Carlo rendering; preview; progressive rendering;
D O I
10.1007/s41095-018-0113-0
中图分类号
学科分类号
摘要
Progressive rendering, for example Monte Carlo rendering of 360° content for virtual reality headsets, is a time-consuming task. If the 3D artist notices an error while previewing the rendering, they must return to editing mode, make the required changes, and restart rendering. We propose the use of eye-tracking-based optimization to significantly speed up previewing of the artist’s points of interest. The speed of the preview is further improved by sampling with a distribution that closely follows the experimentally measured visual acuity of the human eye, unlike the piecewise linear models used in previous work. In a comprehensive user study, the perceived convergence of our proposed method was 10 times faster than that of a conventional preview, and often appeared to be instantaneous. In addition, the participants rated the method to have only marginally more artifacts in areas where it had to start rendering from scratch, compared to conventional rendering methods that had already generated image content in those areas. © 2018, The Author(s).
引用
收藏
页码:267 / 276
页数:9
相关论文
共 50 条
  • [1] Instantaneous foveated preview for progressive Monte Carlo rendering
    Matias K.Koskela
    Kalle V.Immonen
    Timo T.Viitanen
    Pekka O.Jskelinen
    Joonas I.Multanen
    Jarmo H.Takala
    ComputationalVisualMedia, 2018, 4 (03) : 267 - 276
  • [2] Foveated Instant Preview for Progressive Rendering
    Koskela, Matias
    Immonen, Kalle
    Viitanen, Timo
    Jaaskelainen, Pekka
    Multanen, Joonas
    Takala, Jarmo
    IGGRAPH ASIA 2017 TECHNICAL BRIEFS (SA'17), 2017,
  • [3] Progressive transmission and rendering of foveated volume data
    Chen, Chen
    Huang, Zhiyong
    Yu, Hang
    Chang, Ee-Chien
    GRAPP 2006: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS THEORY AND APPLICATIONS, 2006, : 67 - +
  • [4] Mixing Monte Carlo and progressive rendering for improved global illumination
    Doidge, Ian C.
    Jones, Markw.
    Mora, Benjamin
    VISUAL COMPUTER, 2012, 28 (6-8): : 603 - 612
  • [5] Mixing Monte Carlo and progressive rendering for improved global illumination
    Ian C. Doidge
    Mark W. Jones
    Benjamin Mora
    The Visual Computer, 2012, 28 : 603 - 612
  • [6] Foveated Monte-Carlo Denoising
    Milef, Nicholas
    Kalantari, Nima
    SIGGRAPH '21: ACM SIGGRAPH 2021 POSTERS, 2021,
  • [7] Progressive Monte Carlo rendering of atmospheric flow features across scales
    Guenther, Tobias
    Kuhn, Alexander
    Hege, Hans-Christian
    Gross, Markus
    Theisel, Holger
    PHYSICAL REVIEW FLUIDS, 2017, 2 (09):
  • [8] Monte-Carlo Convolutions on Foveated Images
    Killick, George
    Aragon-Camarasa, Gerardo
    Siebert, J. Paul
    PROCEEDINGS OF THE 17TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISAPP), VOL 4, 2022, : 444 - 451
  • [9] Monte Carlo volume rendering
    Cséfalvi, B
    Szirmay-Kalos, L
    IEEE VISUALIZATION 2003, PROCEEDINGS, 2003, : 449 - 456
  • [10] Retinotopic Foveated Rendering
    Zhang, Yan
    You, Keyao
    Hu, Xiaodan
    Zhou, Hangyu
    Kiyokawa, Kiyoshi
    Yang, Xubo
    2024 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES, VR 2024, 2024, : 903 - 912