Vision-aided GAN

2000년 도입 · 논문 1편에서 사용

Vision-aided GAN training involves using pretrained computer vision models in an ensemble of discriminators to improve GAN performance. Linear separability between real and fake samples in pretrained model embeddings is used as a measure to choose the most accurate pretrained models for a dataset.

출처: Ensembling Off-the-shelf Models for GAN Training

소개 논문: Ensembling Off-the-shelf Models for GAN Training