Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks论文笔记
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks论文笔记 作者将生成器网络和判别式网络组合到了一起组成了一个生成对抗网络。MDANs和MGANs的区别在于MDANs因为迭代优化，所以能创建更自然的背景，能更好地保存好输入图片的内容，MGANs则用来训练很多图片，所以它能学到很
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相关文章
- 1. 论文译文《ANOMALY DETECTION WITH GENERATIVE ADVERSARIAL NETWORKS》
- 2. [论文笔记]Self-Attention Generative Adversarial Networks
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- 4. 论文笔记：Eye In-Painting with Exemplar Generative Adversarial Networks
- 5. High Quality Facial Surface and Texture Synthesis via Generative Adversarial Networks
- 6. Generative Adversarial Text to Image Synthesis 论文解读
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- 9. Generative Adversarial Text to Image Synthesis
- 10. Conditional Generative Adversarial Networks（CGAN）笔记