Recycle-GAN: Unsupervised Video Retargeting

ECCV 2018 Aayush BansalShugao MaDeva RamananYaser Sheikh

We introduce a data-driven approach for unsupervised video retargeting that translates content from one domain to another while preserving the style native to a domain, i.e., if contents of John Oliver's speech were to be transferred to Stephen Colbert, then the generated content/speech should be in Stephen Colbert's style. Our approach combines both spatial and temporal information along with adversarial losses for content translation and style preservation... (read more)

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