2019-ICCV最佳论文-SinGAN: Learning a Generative Model from a Single Natural Image
2019-ICCV最佳论文-SinGAN: Learning a Generative Model from a Single Natural Image 作者： Tamar Rott Shaham Tali Dekel Tomer Michaeli 一句话概括论文：作者用了一个称之为金字塔的网络模型来对单张图片操作，可以实现随机生成类似图片、提高分辨率、画图转换为图片等功能。 （为了方便你们看，
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相关文章
- 1. 论文笔记：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：Learning a Generative Model from a Single Natural Image
- 4. SinGAN: Learning a Generative Model from a Single Natural Image 阅读笔记
- 5. SinGAN解读: Learning a Generative Model from a Single Natural Image
- 6. [ICCV2019 Best Paper Award] SinGAN: Learning a Generative Model from a Single Natural Image
- 7. [ICCV2019] 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《Depth Estimation From a Light Field Image Pair With a Generative Model》学习
- 10. ICCV2019 最佳论文解读：SinGAN