Copy Motion From One to Another: Fake Motion Video Generation. (arXiv:2205.01373v2 [cs.CV] UPDATED)

One compelling application of artificial intelligence is to generate a video
of a target person performing arbitrary desired motion (from a source person).
While the state-of-the-art methods are able to synthesize a video demonstrating
similar broad stroke motion details, they are generally lacking in texture
details. A pertinent manifestation appears as distorted face, feet, and hands,
and such flaws are very sensitively perceived by human observers. Furthermore,
current methods typically employ GANs with a L2 loss to assess the authenticity …

arxiv cv fake generation video