Abstract: Deep-learned variational auto-encoders (VAE) have shown remarkable capabilities for lossy image compression. These neural networks typically employ non-linear convolutional layers for ...
Abstract: In recent years, learned image compression has leveraged convolutional neural networks (CNNs) and achieved notable advancements in coding efficiency. However, learned image compression has a ...
[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...
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