Efficient training for compact compression models via sequential distillation

ArXi:2601.05639v2 Announce Type: replace-cross Deep learning models for image compression often face practical limitations in hardware-constrained applications. Although these models achieve high-quality reconstructions, they are typically complex, heavyweight, and require substantial