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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.00558 |
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| _version_ | 1866910392933941248 |
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| author | Roy, Nishith Ranjon Rawnaq, Nailah Kaman, Tulin |
| author_facet | Roy, Nishith Ranjon Rawnaq, Nailah Kaman, Tulin |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_00558 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | GAN with Skip Patch Discriminator for Biological Electron Microscopy Image Generation Roy, Nishith Ranjon Rawnaq, Nailah Kaman, Tulin Image and Video Processing Computer Vision and Pattern Recognition 92B20 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. |
| title | GAN with Skip Patch Discriminator for Biological Electron Microscopy Image Generation |
| topic | Image and Video Processing Computer Vision and Pattern Recognition 92B20 |
| url | https://arxiv.org/abs/2404.00558 |