論文筆記--CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation
CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation 用於圖像到圖像轉換的週期-合成GAN 摘要：圖像到圖像變換的主要目的是將一個域的圖像轉換爲另一個域。大部分的研究都集中在一組預定義域的圖像變換問題上。很少有研究報告爲不同領域的圖像到圖像轉換開發了一個通用的框架。隨着
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相關文章
- 1. CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation
- 2. [論文筆記]Self-Attention Generative Adversarial Networks
- 3. SAGAN(Self-Attention Generative Adversarial Networks)論文筆記
- 4. 論文筆記：Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation
- 5. 論文閱讀筆記《Generative Adversarial Residual Pairwise Networks for One Shot Learning 》
- 6. Generative Adversarial Nets論文筆記
- 7. 論文筆記：Generative Adversarial Nets
- 8. Conditional Generative Adversarial Networks（CGAN）筆記
- 9. 論文筆記《Adversarial Networks for Prostate Cancer Detection》
- 10. Binary Generative Adversarial Networks for Image Retrieval