Learned frame prediction is a current problem of interest in computer vision and video compression. Although several deep network architectures have been proposed for learned frame prediction, to the best of our knowledge, there is no work based on using deformable convolutions for frame prediction. To this effect, we propose a deformable frame prediction network (DFPN) for task oriented implicit motion modeling and next frame prediction. Experimental results demonstrate that the proposed DFPN model achieves state of the art results in next frame prediction. Our models and results are available at https://github.com/makinyilmaz/DFPN.

翻译：虽然据我们所知,已经提出了若干深层次网络结构,以便进行学习框架预测,但目前没有利用变形变异来进行框架预测的工作,为此,我们提议建立一个变形框架预测网络(DFPN),以便进行面向任务的隐含行动建模和下一个框架预测。实验结果显示,拟议的DFPN模型在下一个框架预测中取得了最新结果。我们的模型和结果可在https://github.com/makinyilmaz/DFPN上查阅。