Transfusive image manipulation

  • Authors:
  • Kaan Yücer;Alec Jacobson;Alexander Hornung;Olga Sorkine

  • Affiliations:
  • ETH Zurich and Disney Research, Zurich;ETH Zurich;Disney Research, Zurich;ETH Zurich

  • Venue:
  • ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present a method for consistent automatic transfer of edits applied to one image to many other images of the same object or scene. By introducing novel, content-adaptive weight functions we enhance the non-rigid alignment framework of Lucas-Kanade to robustly handle changes of view point, illumination and non-rigid deformations of the subjects. Our weight functions are content-aware and possess high-order smoothness, enabling to define high-quality image warping with a low number of parameters using spatially-varying weighted combinations of affine deformations. Optimizing the warp parameters leads to subpixel-accurate alignment while maintaining computation efficiency. Our method allows users to perform precise, localized edits such as simultaneous painting on multiple images in real-time, relieving them from tedious and repetitive manual reapplication to each individual image.