[ICCV2019 Best Paper Award] SinGAN: Learning a Generative Model from a Single Natural Image
本篇是刚刚召开的ICCV2019获得Best Paper Award的一篇文章。 [arxiv] : 链接 [homepage] : 链接 [code] : github链接 [demo动画] ：youtube链接 Too Long; Didn’t Read 本篇文章是一篇关于GAN作图像生成和图像编辑的文章。 在GAN领域首次尝试使用单张图作为训练数据生成保证结构不变而具有多样性的图片。（图1）
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- 1. [ICCV2019] SinGAN: Learning a Generative Model from a Single Natural Image
- 2. 论文笔记：SinGAN: Learning a Generative Model from a Single Natural Image
- 3. SinGAN解读: Learning a Generative Model from a Single Natural Image
- 4. SinGAN：Learning a Generative Model from a Single Natural Image
- 5. SinGAN: Learning a Generative Model from a Single Natural Image 阅读笔记
- 6. 2019-ICCV最佳论文-SinGAN: Learning a Generative Model from a Single Natural Image
- 7. [论文笔记]：SinGAN: Learning a Generative Model from a Single Natural Image
- 8. SinGAN: Learning a Generative Model from a Single Natural Image（ICCV19）
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相关文章
- 1. [ICCV2019] SinGAN: Learning a Generative Model from a Single Natural Image
- 2. 论文笔记：SinGAN: Learning a Generative Model from a Single Natural Image
- 3. SinGAN解读: Learning a Generative Model from a Single Natural Image
- 4. SinGAN：Learning a Generative Model from a Single Natural Image
- 5. SinGAN: Learning a Generative Model from a Single Natural Image 阅读笔记
- 6. 2019-ICCV最佳论文-SinGAN: Learning a Generative Model from a Single Natural Image
- 7. [论文笔记]：SinGAN: Learning a Generative Model from a Single Natural Image
- 8. SinGAN: Learning a Generative Model from a Single Natural Image（ICCV19）
- 9. 论文解读：ICCV2019 Best paper SinGAN
- 10. GANimation ：Anatomically-aware Facial Animation from a Single Image