Deep-learned variational auto-encoders (VAE) have shown remarkable capabilities for lossy image compression. These neural networks typically employ non-linear convolutional layers for finding a ...

In recent years, advances in deep learning have greatly promoted the development of hyperspectral image (HSI) compression algorithms. However, most existing compression approaches directly rely on ...

However, for now I could see that the encoding is generally taking time in the kernel_rms_norm functions. Tried adding the fast paths, which I had mentioned in the previous comments, I was unable to ...