[TMI2019-07]Ea-GANs: Edge-Aware Generative Adversarial Networks for CrossModality MR Image Synthesis

时间 2020-12-30

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Ea-GANs: Edge-Aware Generative Adversarial Networks for CrossModality MR Image Synthesis 为了利用来自多重成像模态的互补信息，跨模态 MR 图像合成引起了越来越多的研究兴趣。但是，大多数现有方法仅着眼于最小化像素/体素方向的强度差异，而忽略了图像内容结构的纹理细节，这影响了合成图像的质量。具体来说，我们集成了边

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1. Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks
2. Ea-GANs: Edge-aware Generative Adversarial Networks for Cross-modality MR Image Synthesis
3. Generative Adversarial Text to Image Synthesis
4. Binary Generative Adversarial Networks for Image Retrieval
5. Generative Adversarial Networks for Hyperspectral Image Classification
6. DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis 论文解读
7. CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis
8. text to image（二）:《Generative Adversarial Text to Image Synthesis》
9. CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
10. Generative Adversarial Text to Image Synthesis 论文解读

>>更多相关文章<<