Image-based Material Reconstruction

Image-Based Material Reconstruction is a computational method that infers and synthesizes the physical and optical properties of materials from two-dimensional images, distinguishing itself by leveraging visual data as the primary input to reconstruct material representations for use in rendering, simulation, or fabrication.

49

Publications

2.4K

Citations

196

Authors

95

Institutions

Publications per year

2017–2026

23

Authors

196

  1. RK
    Reinhard Klein

    University of Bonn, Germany

    2 publications · 75 citations

    2

    h-index

  2. MB
    Majid Baniassadi

    University of Tehran, Iran

    2 publications · 101 citations

    2

    h-index

  3. QT
    Qizhi Teng

    Sichuan University, China

    2 publications · 184 citations

    2

    h-index

  4. MF
    Markus Firsching

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    2 publications · 32 citations

    2

    h-index

  5. KA
    Karen Abrinia

    University of Tehran, Iran

    2 publications · 101 citations

    2

    h-index

1–5 of 196

Venues

  1. Computational Materials Science

    3 publications · 115 citations

    3

    h-index

  2. Composites Science and Technology

    2 publications · 71 citations

    2

    h-index

  3. Journal of Microscopy

    2 publications · 62 citations

    2

    h-index

  4. ACM Transactions on Graphics

    TOG · 1 publications · 326 citations

    1

    h-index

  5. Digital Discovery

    1 publications · 16 citations

    1

    h-index

1–5