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20172025
most citedDynamics Transfer GAN: Generating Video by Transferring Arbitrary Temporal Dynamics from a Source Video to a Single Target Image

15 citations · 19 across the 14 of their papers we have counts for

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cs.CV2017★ 15 cited

Dynamics Transfer GAN: Generating Video by Transferring Arbitrary Temporal Dynamics from a Source Video to a Single Target Image

Wissam J. Baddar, Geonmo Gu, Sangmin Lee +1

In this paper, we propose Dynamics Transfer GAN; a new method for generating video sequences based on generative adversarial learning. The spatial constructs of a generated video s…