ADRD is an attention-based DenseNet variant with residual deconvolution that reports improved quantitative and qualitative super-resolution results on public datasets.
Bovik, Hamid R
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
2019 2verdicts
UNVERDICTED 2representative citing papers
DMT uses identity and makeup encoders in a GAN to enable controllable makeup transfer from references and sampling of new styles from a prior distribution.
citing papers explorer
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Image Super-Resolution Using Attention Based DenseNet with Residual Deconvolution
ADRD is an attention-based DenseNet variant with residual deconvolution that reports improved quantitative and qualitative super-resolution results on public datasets.
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Disentangled Makeup Transfer with Generative Adversarial Network
DMT uses identity and makeup encoders in a GAN to enable controllable makeup transfer from references and sampling of new styles from a prior distribution.