DeepAI: Image Generator. lets you generate incredible artworks in one simple step. 1. Enter a prompt for the AI to work with (it can be anything!) 2. Choose a…
Image Generation Theoretical Research This section describes DeepImage-related AI/Deep Learning theory (especially computer vision) research. If you like to read the paper and use the latest papers, enjoy it. Click here to systematically understand GAN Click here to systematically image-to-image-pape...
MGMDcGANMedical Image Fusion Using Multi-Generator Multi-Discriminator Conditional Generative Adversarial NetworkPaperCodeAccessGAN无监督2020 D2LEA Bilevel Integrated Model With Data-Driven Layer Ensemble for Multi-Modality Image FusionPaperTIPCNN无监督2021 ...
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image space. The dimensionality reduction mitigates random variations in the input while preserving image features necessary for image reconstruction. (c) Generative adversarial network consists of a generator network which produces an estimate of a ground-truth image and a discriminator which attempts to...
The generator captures the distributions of the real data and tries to produce samples with the same characteristics in order to fool and confuse the discriminator, which in turn attempts to distinguish the real data from the fake/generated. Typically, the training process of conventional GANs is ...
Note that G is a 3D generator that performs 3D deblurring or upsampling on an input image volume. During this 3D restoration process, there are chances that original XY slice images can be distorted. Therefore, the generator G should be trained to improve the resolution in both XZ and YZ sl...
In the last years, due to the availability and easy of use of image editing tools, a large amount of fake and altered images have been produced and spread through the media and the Web. A lot of different approaches have been proposed in order to assess the authenticity of an image and...
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25 Synthesizing the preferred inputs for neurons in neural networks via deep generator networks https://github.com/Evolving-AI-Lab/synthesizing 402 26 Learning from Simulated and Unsupervised Images through Adversarial Training https://github.com/carpedm20/simulated-unsupervised-tensorflow 401 27 Deep ...