IICNet

2000년 도입 · 논문 2편에서 사용

Invertible Image Conversion Net, or IICNet, is a generic framework for reversible image conversion tasks. Unlike previous encoder-decoder based methods, IICNet maintains a highly invertible structure based on invertible neural networks (INNs) to better preserve the information during conversion. It uses a relation module and a channel squeeze layer to improve the INN nonlinearity to extract cross-image relations and the network flexibility, respectively.

출처: IICNet: A Generic Framework for Reversible Image Conversion

소개 논문: IICNet: A Generic Framework for Reversible Image Conversion