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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3008523
Abstract: In this paper, we propose a novel deep generative model for image animation synthesis. Based on self-supervised learning and adversarial training, the model can find labeling rules and mark them without origin sample labels. In…
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Keywords:
self supervised;
adversarial training;
animation synthesis;
animation ... See more keywords