Image Restoration with Deep Generative Models

Raymond A. Yeh; Teck-Yian Lim; Chen Chen; Alexander G. Schwing; Mark Hasegawa-Johnson; Minh N. Do

ICASSP 2018accepted0 citations

Image Restoration with Deep Generative Models

Raymond A. Yeh, Teck-Yian Lim, Chen Chen, Alexander G. Schwing, Mark Hasegawa-Johnson, Minh N. Do

Abstract

Many image restoration problems are ill-posed in nature, hence, beyond the input image, most existing methods rely on a carefully engineered image prior, which enforces some local image consistency in the recovered image. How tightly the prior assumptions are fulfilled has a big impact on the resulting task performance. To obtain more flexibility, in this work, we proposed to design the image prior in a data-driven manner. Instead of explicitly defining the prior, we learn it using deep generative models. We demonstrate that this learned prior can be applied to many image restoration problems using an unified framework.

BibTeX

@inproceedings{icassp2018_imagerestoration,
  title = {Image Restoration with Deep Generative Models},
  author = {Raymond A. Yeh and Teck-Yian Lim and Chen Chen and Alexander G. Schwing and Mark Hasegawa-Johnson and Minh N. Do},
  booktitle = {ICASSP 2018},
  year = {2018}
}