bigGAN: LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS
論文地址：bigGAN 這篇paper還在ICLR2018的審稿當中，但是由於效果太驚豔，已經引起了廣泛的討論。 這篇介紹的GAN模型用於生成高清圖像，其生成的圖像質量非常高，高到可以以假亂真的程度。先來幾張感受一下： 作者的工作主要體現在以下三點： 提出了兩個簡單的，提升模型scalability和conditioning(通過修改regularization scheme)的結構
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相關文章
- 1. LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS
- 2. Large scale GAN training for high fidelity natural image synthesis解讀
- 3. 飛槳PaddlePaddle論文復現：LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS
- 4. 【PaddlePaddle論文復現】LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS閱讀心得
- 5. 飛槳論文復現之《LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS》
- 6. 【飛槳】學習論文復現，【Paddle Paddle】復現LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS
- 7. Paper之BigGAN：ICLR 2019最新論文《LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS》論文研究中
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