Mikhail G. Mozerov

Slimmable Compressive Autoencoders for Practical Neural Image Compression

Neural image compression leverages deep neural networks to outperform traditional image codecs in rate-distortion performance. However, the resulting models are also heavy, computationally demanding and generally optimized for a single rate, limiting their practical use. Focusing on practical image…