RefocusGAN: Scene Refocusing using a Single Image

Parikshit Sakurikar; Ishit Mehta; Vineeth N. Balasubramanian; P. J. Narayanan

ECCV 2018poster14 citations

RefocusGAN: Scene Refocusing using a Single Image

Parikshit Sakurikar, Ishit Mehta, Vineeth N. Balasubramanian, P. J. Narayanan

Abstract

Post-capture control of the focus position of an image is a useful photographic tool. Changing the focus of a single image involves the complex task of simultaneously estimating the radiance and the defocus radius of all scene points. We introduce RefocusGAN, a deblur-then-reblur approach to single image refocusing. We train conditional adversarial networks for deblurring and refocusing using wide-aperture images created from light-fields. By appropriately conditioning our networks with a focus measure, an in-focus image and a refocus control parameter, we are able to achieve generic free-form refocusing over a single image.

BibTeX

@inproceedings{eccv2018_refocusganscener,
  title = {RefocusGAN: Scene Refocusing using a Single Image},
  author = {Parikshit Sakurikar and Ishit Mehta and Vineeth N. Balasubramanian and P. J. Narayanan},
  booktitle = {ECCV 2018},
  year = {2018}
}