Content Based Image Synthesis
Nicholas A. Diakopoulos, Man Essa, Ramesh Jain · 2004
Abstract. 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. 1 Introduction and Related Work The ongoing digital media revolution has resulted in an untold amount of new digital content in the form of images and videos. Much of this digital content is generated by capturing real scenarios using cameras. We feel that digital media production would become much simpler, more effective, and cheaper if intuitive tools were available for