Score-Guided Generative Adversarial Networks

Score-Guided Generative Adversarial Networks

We propose a generative adversarial network (GAN) that introduces an evaluator module using pretrained networks. The proposed model, called a score-guided GAN (ScoreGAN), is trained using an evaluation metric for GANs, i.e., the Inception score, as a rough guide for the training of the generator. Us...

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Bibliographic Details
Main Authors: Minhyeok Lee, Junhee Seok
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Axioms
Subjects:
generative adversarial network
image generation
image synthesis
GAN
generative model
Inception score
Online Access:https://www.mdpi.com/2075-1680/11/12/701

Internet

https://www.mdpi.com/2075-1680/11/12/701

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