CG2Real: Improving the Realism of Computer Generated Images using a Large Collection of Photographs

CG2Real: Improving the Realism of Computer Generated Images using a Large Collection of Photographs

Mica K. Johnson, Kevin Dale, Shai Avidan, Hanspeter Pfister, William T. Freeman, and Wojciech Matusik.

(IEEE Transactions on Visualization and Computer Graphics, 2009.)

Computer Graphics (CG) has achieved a high level of realism, producing strikingly vivid images. This realism, however, comes at the cost of long and often expensive manual modeling, and most often humans can still distinguish between CG images and real images. We present a novel method to make CG images look more realistic that is simple and accessible to novice users. Our system uses a large collection of photographs gathered from online repositories. Given a CG image, we retrieve a small number of real images with ...