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Improving Generative Adversarial Networks for Patch-Based Unpaired ...
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Nov 9, 2023 · Abstract: Deep learning models for image segmentation achieve high-quality results, but need large amounts of training data.
Mar 4, 2024 · Manual annotation can be reduced using synthetic training data generated by generative adversarial networks that perform unpaired image-to-image ...
Nov 17, 2023 · Many GANs for unpaired image- to-image translation consist of one or more generators, transforming data between the domains and one or more.
In summary, the CycleGAN framework is utilized to achieve unpaired image translation through the application of cycle-consistent loss. Finally, the proposed ...
We provide our PyTorch implementation of unpaired image-to-image translation based on patchwise contrastive learning and adversarial learning.
Unpaired image-to-image translation aims to learn proper mappings that can map images from one domain to another domain while preserving the content of the ...
In this paper, we explore illustrations in children's books as a new domain in unpaired image-to-image translation.
May 14, 2024 · We propose a patch-based GAN model with a novel padding method that is capable of synthesizing stochastic textures of infinite size and that is trainable on a ...
○ U-Net based Conditional Generative Adversarial Networks(GAN) is created using skip connections from encoder network activations to the decoder network input.
Unpaired image-to-image translation aims to translate an input image to another domain such that the output image looks like an image from another domain ...