“Gabor Splatting for High-Quality Gigapixel Image Representations” by Wurster, Zhang and Zheng – ACM SIGGRAPH HISTORY ARCHIVES

“Gabor Splatting for High-Quality Gigapixel Image Representations” by Wurster, Zhang and Zheng

  • ©

Conference:


Type(s):


Title:

    Gabor Splatting for High-Quality Gigapixel Image Representations

Session/Category Title:   Rendering & Displays


Presenter(s)/Author(s):



Abstract:


    We introduce Gabor splatting, a periodic extension of Gaussian splatting which results in higher reconstruction quality per-parameter for gigapixel images as compared to Gaussian splatting and often I-NGP.

References:


    [1]
    Zhang Chen, Zhong Li, Liangchen Song, Lele Chen, Jingyi Yu, Junsong Yuan, and Yi Xu. 2023. NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). 4182?4194.

    [2]
    Bernhard Kerbl, Georgios Kopanas, Thomas Leimkuehler, and George Drettakis. 2023. 3D Gaussian Splatting for Real-Time Radiance Field Rendering. ACM Trans. Graph. 42, 4, Article 139 (jul 2023), 14 pages.

    [3]
    Thomas M?ller, Alex Evans, Christoph Schied, and Alexander Keller. 2022. Instant Neural Graphics Primitives with a Multiresolution Hash Encoding. ACM Trans. Graph. 41, 4, Article 102 (July 2022), 15 pages.

    [4]
    Vincent Sitzmann, Julien N.P. Martel, Alexander W. Bergman, David B. Lindell, and Gordon Wetzstein. 2020. Implicit Neural Representations with Periodic Activation Functions. In Proc. NeurIPS.

    [5]
    M Zechmeister and M K?rster. 2009. The generalised Lomb-Scargle periodogram-a new formalism for the floating-mean and Keplerian periodograms. Astronomy & Astrophysics 496, 2 (2009), 577?584.

    [6]
    M. Zwicker, H. Pfister, J. van Baar, and M. Gross. 2001. EWA volume splatting. In Proceedings Visualization, 2001. VIS ?01.29?538.


ACM Digital Library Publication:



Overview Page:



Submit a story:

If you would like to submit a story about this presentation, please contact us: historyarchives@siggraph.org