Dual Motion GAN for Future-Flow Embedded Video Prediction

Abstract

Future frame prediction in videos is a promising avenue for unsupervised video representation learning. Video frames are naturally generated by the inherent pixel flows from preceding frames based on the appearance and motion dynamics in the video. However, existing methods focus on directly hallucinating pixel values, resulting in blurry predictions. In… (More)

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Cite this paper

@article{Liang2017DualMG, title={Dual Motion GAN for Future-Flow Embedded Video Prediction}, author={Xiaodan Liang and Lisa Lee and Wei Dai and Eric P. Xing}, journal={2017 IEEE International Conference on Computer Vision (ICCV)}, year={2017}, pages={1762-1770} }