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Found 5 papers, 2 papers with code
Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules
However, due to the vast diversity of images, it is not optimal to use one model for all images, even different regions within one image.
Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks
Recently deep learning-based image compression has shown the potential to outperform traditional codecs.
Generalized Octave Convolutions for Learned Multi-Frequency Image Compression
Learned image compression has recently shown the potential to outperform the standard codecs.
Learned Variable-Rate Image Compression with Residual Divisive Normalization
Recently it has been shown that deep learning-based image compression has shown the potential to outperform traditional codecs.
Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs
Recently deep learning-based methods have been applied in image compression and achieved many promising results.
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