Content Based Image Synthesis

Nicholas Diakopoulos, Man Essa, Ramesh Jain

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


A new method allowing for semantically guided image editing and synthesis is introduced. The editing process is made considerably easier and more powerful with our content-aware tool. We construct a database of image regions annotated with a carefully chosen vocabulary and utilize recent advances in texture synthesis algorithms to generate new and unique image regions from this database of material. These new regions are then seamlessly composited into a user's existing photograph. The goal is to empower the end user with the ability to edit existing photographs and synthesize new ones on a high semantic level. Plausible results are generated using a small prototype database and showcase some of the editing possibilities that such a system affords.

Original languageEnglish (US)
Pages (from-to)299-307
Number of pages9
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
StatePublished - Dec 1 2004

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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