Feb. 7, 2024, 5:47 a.m. | Ricardo de Deijn Aishwarya Batra Brandon Koch Naseef Mansoor Hema Makkena

cs.CV updates on arXiv.org arxiv.org

The growth of generative adversarial network (GAN) models has increased the ability of image processing and provides numerous industries with the technology to produce realistic image transformations. However, with the field being recently established there are new evaluation metrics that can further this research. Previous research has shown the Fr\'echet Inception Distance (FID) to be an effective metric when testing these image-to-image GANs in real-world applications. Signed Inception Distance (SID), a founded metric in 2023, expands on FID by allowing …

adversarial cs.cv eess.iv evaluation evaluation metrics gan generative generative adversarial network generative adversarial networks growth image image processing industries metrics network networks processing research technology

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