Corpus ID: 209202717

HyperCon: Image-To-Video Model Transfer for Video-To-Video Translation Tasks

@article{Szeto2019HyperConIM,
  title={HyperCon: Image-To-Video Model Transfer for Video-To-Video Translation Tasks},
  author={Ryan Szeto and Mostafa El-Khamy and Jungwon Lee and Jason J. Corso},
  journal={ArXiv},
  year={2019},
  volume={abs/1912.04950}
}
Video-to-video translation for super-resolution, inpainting, style transfer, etc. is more difficult than corresponding image-to-image translation tasks due to the temporal consistency problem that, if left unaddressed, results in distracting flickering effects. Although video models designed from scratch produce temporally consistent results, training them to match the vast visual knowledge captured by image models requires an intractable number of videos. To combine the benefits of image and… Expand

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