Large scale GAN training for high fidelity natural image synthesis解读
《Large scale GANtraining for high fidelity natural image synthesis》这篇文章对训练大规模生成对抗网络进行了实验和理论分析，经过使用以前提出的一些技巧，如数据截断、正交正则化等，保证了大型生成对抗网络训练过程的稳定性。本文训练出的模型在生成数据的质量方面达到了史无前例的高度，远超以前的方法。做者对生成对抗网络训练时的稳定性进行了分析，
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相关文章
- 1. LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS
- 2. bigGAN: LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS
- 3. 【PaddlePaddle论文复现】LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS阅读心得
- 4. 飞桨论文复现之《LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS》
- 5. 飞桨PaddlePaddle论文复现：LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS
- 6. Paper之BigGAN：ICLR 2019最新论文《LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS》论文研究中
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