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Found 3 papers, 1 papers with code
Context-Aware Automatic Text Simplification of Health Materials in Low-Resource Domains
We also show the enhanced accuracy of our system over directly-supervised neural methods in this low-resource setting.
FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis
In this paper, We present a landmark driven two-stream network to generate faithful talking facial animation, in which more facial details are created, preserved and transferred from multiple source images instead of a single one.
Unsupervised Representation Adversarial Learning Network: from Reconstruction to Generation
The newly proposed RepGAN is tested on MNIST, fashionMNIST, CelebA, and SVHN datasets to perform unsupervised classification, generation and reconstruction tasks.
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