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6 changes: 5 additions & 1 deletion modules/GAN/README.md
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# reference
- [Generative Adversarial Networks](https://arxiv.org/abs/1406.2661)
- [Understanding Generative Adversarial Networks (GANs)](https://towardsdatascience.com/understanding-generative-adversarial-networks-gans-cd6e4651a29)
- [2014. Generative Adversarial Networks](https://arxiv.org/abs/1406.2661)
- [2019. Melgan: Generative adversarial networks for conditional waveform synthesis](https://arxiv.org/abs/1910.06711) | [paper code](https://github.com/descriptinc/melgan-neurips) | [NVIDIA/tacotron2 melgan](https://github.com/seungwonpark/melgan) (第一个成功训练 GAN 生成原始音频的工作,无需额外的蒸馏或感知损失函数,同时仍能产生高质量的文本到语音合成模型。 结合硬件加速推理)
- [2020. HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis](https://arxiv.org/abs/2010.05646) | [paper code](https://github.com/jik876/hifi-gan)
- [2024.The GAN is dead; long live the GAN! A Modern GAN Baseline](https://arxiv.org/abs/2501.05441) | [paper code](https://github.com/brownvc/R3GAN/tree/main/training)