In terms of quality vs bit rate, ML-based methods are superior.
In terms of computation and memory requirements, they're orders of magnitude worse. It's a trade-off; TINSTAAFL.
Agreed, although this bit is unclear - the compressed representations of the ML-based methods take up much less space in memory than traditional methods, but yes - the decompression pipeline is memory-intensive due to intermediary feature maps.
