Patched-Based Swin Transformer Hyperprior for Learned Image Compression.

We present a hybrid end-to-end learned image compression framework that combines a CNN-based variational autoencoder (VAE) with an efficient hierarchical Swin Transformer to address the limitations of existing entropy models in capturing global depen…

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