By fixing the latent variables and giving continuous pose sequences to Progressive Structure-conditional Generative Adversarial Networks(PSGAN), we can generate the animation of the character. More specifically, we map the representation of the specified anime character into the latent variables in the latent space which serve as the input vector of PSGAN. By mapping the specified anime characters to latent space and generating the latent variables as the input of PSGAN, arbitrary animation with the specified anime characters is generated.

[Technical Report]
Full-body High-resolution Anime Generation with Progressive Structure-conditional Generative Adversarial Networks
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