Content-aware Editing

Content-Aware Editing is a computational image editing method that automatically infers and synthesizes plausible visual content in modified regions by analyzing and integrating structural and textural information from surrounding areas.

20

Publications

1.1K

Citations

75

Authors

34

Institutions

Publications per year

2017–2026

7

Authors

75

  1. MA
    Maneesh Agrawala

    University of California, Berkeley, United States

    2 publications · 67 citations

    2

    h-index

  2. JY
    Jong Yun Jun

    Institut national de recherche en sciences et technologies du numérique, France

    1 publications · 13 citations

    1

    h-index

  3. YR
    Yong Rui

    Microsoft Research Asia (China), China

    1 publications · 14 citations

    1

    h-index

  4. PJ
    Prakhar Jindal

    Delft University of Technology, Netherlands

    1 publications · 27 citations

    1

    h-index

  5. RS
    Raj S. Sodhi

    New Jersey Institute of Technology, United States

    1 publications · 56 citations

    1

    h-index

1–5 of 75

Venues

  1. ACM Transactions on Graphics

    TOG · 4 publications · 227 citations

    4

    h-index

  2. IEEE Transactions on Multimedia

    1 publications · 14 citations

    1

    h-index

  3. Graphics Interface

    Conference · 1 publications · 28 citations

    1

    h-index

  4. The Visual Computer

    1 publications · 50 citations

    1

    h-index

  5. Computer Vision and Image Understanding

    CVIU · 1 publications · 13 citations

    1

    h-index

1–5