conditionalgantexttoimage

由CBodnar著作·2018·被引用32次—Moreover,IproposeWassersteinGAN-CLS,anewmodelforconditionalimagegenerationbasedontheWassersteindistancewhichoffersguarantees ...,由SReed著作·被引用3612次—Matching-awarediscriminator(GAN-CLS).ThemoststraightforwardwaytotrainaconditionalGANistoview(text,image)pairsasjointobservationsandtrain.,2022年6月16日—Inthispaper,weproposedsomeenhancementstotheconditionalgenera...

參考資訊如下
Text to Image Synthesis Using Generative Adversarial ...

由 C Bodnar 著作 · 2018 · 被引用 32 次 — Moreover, I propose Wasserstein GAN-CLS, a new model for conditional image generation based on the Wasserstein distance which offers guarantees ...

Generative Adversarial Text to Image Synthesis

由 S Reed 著作 · 被引用 3612 次 — Matching-aware discriminator (GAN-CLS). The most straightforward way to train a conditional GAN is to view (text, image) pairs as joint observations and train.

Enhanced Text-to

2022年6月16日 — In this paper, we proposed some enhancements to the conditional generative model that is widely used for text-to-image synthesis. ... as input. As ...

CIGLI

由 X Lu 著作 · 2021 · 被引用 2 次 — Many neural approaches to text-to-image generation rely on architectures built around Generative Adversarial Net- work (GANs). Several GAN-based models composed ...

TextControlGAN: Text-to

由 H Ku 著作 · 2023 · 被引用 3 次 — A cGAN [31] is a type of GAN that can generate data conditioned on given conditions. For example, a cGAN can generate images of faces given text descriptions of ...

Text to Image Synthesis using Stacked Conditional ...

由 H Tibebu 著作 · 2022 · 被引用 7 次 — ... GAN (CGAN) network architecture for synthesizing images conditioned on a text description. ... Conditional GAN network to achieve the results.

Using Conditional Deep Convolutional GANs to Generate ...

2021年6月17日 — In this article, I'll describe the implementation of a conditional deep convolutional GAN in PyTorch that uses English text as labels instead of ...

senmaoyRAT-GAN: A conditional GAN for text-to

It's easy to train on your own Datasets (similar to the processing for flower dataset) · Prepare a captions.pickle containing all the image paths. · Save ...

pix2pix: Image-to

2023年11月16日 — This tutorial demonstrates how to build and train a conditional generative adversarial network (cGAN) called pix2pix that learns a mapping ...

CT-GAN

由 X Zhang 著作 · 2023 · 被引用 1 次 — This study proposes a conditional generative adversarial network (GAN) of transformer architecture for text-to-image tasks called CT-GAN by employing the GAN ...