arXiv Open Access 2024

GAN with Skip Patch Discriminator for Biological Electron Microscopy Image Generation

Nishith Ranjon Roy Nailah Rawnaq Tulin Kaman

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Abstrak

Generating realistic electron microscopy (EM) images has been a challenging problem due to their complex global and local structures. Isola et al. proposed pix2pix, a conditional Generative Adversarial Network (GAN), for the general purpose of image-to-image translation; which fails to generate realistic EM images. We propose a new architecture for the discriminator in the GAN providing access to multiple patch sizes using skip patches and generating realistic EM images.

Topik & Kata Kunci

eess.IV cs.CV

Penulis (3)

Nishith Ranjon Roy

Nailah Rawnaq

Tulin Kaman

Format Sitasi

APA MLA BibTeX

Roy, N.R., Rawnaq, N., Kaman, T. (2024). GAN with Skip Patch Discriminator for Biological Electron Microscopy Image Generation. https://arxiv.org/abs/2404.00558

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓