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Jul 12, 2018 · We propose a novel, fully-convolutional conditional generative model capable of learning image transformations using a light-weight network ...
Jul 12, 2018 · We propose a novel, fully-convolutional conditional generative model capable of learning image transformations using a light-weight network ...
The conditional transformation unit (CTU) designed to produce specified attribute modifications and an adaptive discriminator used to stabilize the learning ...
This study proposes a conditional generative adversarial network (GAN) of transformer architecture for text-to-image tasks called CT-GAN by employing the GAN ...
Missing: Modification. | Show results with:Modification.
Aug 31, 2018 · We propose a novel, fully-convolutional conditional generative model capableof learning image transformations using a light-weight network ...
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Jul 12, 2018 · Abstract:We propose a fully-convolutional conditional generative model, the latent transformation neural network (LTNN), capable of view ...
May 26, 2022 · Multi-Condition Constraint GAN Model. The modal transformation process of the image is reversible, which means CT and MR images can be converted ...
Sep 1, 2020 · The conditional generative adversarial network, or cGAN for short, is a type of GAN that involves the conditional generation of images by a ...
Jul 13, 2021 · Generative Adversarial Networks (GANs) let us generate novel image data, video data, or audio data from a random input. Typically, the ...
CT-GAN - CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification; CVAE-GAN - CVAE-GAN: Fine-Grained Image ...