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Found 5 papers, 5 papers with code
Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets
Third, variable rate quantization is used also for the hyper latent.
Learned Lossless Image Compression Through Interpolation With Low Complexity
With the increasing popularity of deep learning in image processing, many learned lossless image compression methods have been proposed recently.
Image Compression With Learned Lifting-Based DWT and Learned Tree-Based Entropy Models
This paper explores learned image compression based on traditional and learned discrete wavelet transform (DWT) architectures and learned entropy models for coding DWT subband coefficients.
A Learned Pixel-by-Pixel Lossless Image Compression Method with 59K Parameters and Parallel Decoding
This paper considers lossless image compression and presents a learned compression system that can achieve state-of-the-art lossless compression performance but uses only 59K parameters, which is more than 30x less than other learned systems proposed recently in the literature.
End-to-End Learned Block-Based Image Compression with Block-Level Masked Convolutions and Asymptotic Closed Loop Training
CNN operate on entire input images.
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