《MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and A...
出處：2018 AAAI SourceCode:https://github.com/salu133445/musegan abstract： （寫得不錯 值得借鑑）重點闡述了生成音樂和生成圖片，視頻及語音的不同。首先音樂是基於時間序列的；其次音符在和絃、琶音（arpeggios）、旋律、複音等規則的控制之下的；同時一首歌曲是多track的。總之不能簡單堆疊音符。本文基於GAN提出了三種模型來生成
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相關文章
- 1. CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
- 2. Graphical Generative Adversarial Networks
- 3. Generative Adversarial Networks for Hyperspectral Image Classification
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- 5. Triangle Generative Adversarial Networks
- 6. Contrastive Generative Adversarial Networks
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