2019
Generative Adversarial Networks Based Error Concealment for Low Resolution Video
ICASSP 2019accepted
In this paper, a novel deep generative model-based approach for video error concealment is proposed. Our method is comprised of completion network and two critics. The frame completion network is trained to fool the both the local and global critics, which requires completion network to conceal fram…