Render Pipeline Optimization

Render Pipeline Optimization is a computational framework that systematically enhances the efficiency and performance of the sequence of stages transforming 3D scene data into 2D images for display in real-time virtual reality applications by minimizing latency, reducing redundant operations, and leveraging hardware-aware rendering techniques.

34

Publications

1.4K

Citations

117

Authors

46

Institutions

Publications per year

2017–2026

10

Authors

117

  1. BK
    Bernhard Kerbl

    Graz University of Technology, Austria

    2 publications · 103 citations

    2

    h-index

  2. MW
    Michael Wimmer

    TU Wien, Austria

    2 publications · 104 citations

    2

    h-index

  3. KM
    Kwan‐Liu Ma

    University of California, Davis, United States

    2 publications · 125 citations

    2

    h-index

  4. EL
    Eugene Lee

    National Yang Ming Chiao Tung University, Taiwan

    1 publications · 11 citations

    1

    h-index

  5. RG
    Richard Gillibrand

    University of Warwick, United Kingdom

    1 publications · 12 citations

    1

    h-index

1–5 of 117

Venues

  1. ACM Transactions on Graphics

    TOG · 4 publications · 121 citations

    4

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 110 citations

    3

    h-index

  3. The Visual Computer

    2 publications · 28 citations

    2

    h-index

  4. Computers & Graphics

    2 publications · 34 citations

    2

    h-index

  5. Parallel Computing

    2 publications · 33 citations

    2

    h-index

1–5