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https://github.com/NATSpeech/NATSpeech/blob/main/modules/tts/portaspeech/fvae.py#L120 我的理解是: 这个loss是计算VAE生成的zq在VAE生成的分布q_dist中的概率,和通过prior_flow转换zq生成的zp在正态分布中的概率,之间的KL距离更小。如果KL距离很小,说明VPFlow转换的分布和VAE的分布相近。
但是怎么证明VPFlow转换的zp是正态分布呢?是不是还应该保证logpx和logqx足够高呢?
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https://github.com/NATSpeech/NATSpeech/blob/main/modules/tts/portaspeech/fvae.py#L120
我的理解是:
这个loss是计算VAE生成的zq在VAE生成的分布q_dist中的概率,和通过prior_flow转换zq生成的zp在正态分布中的概率,之间的KL距离更小。如果KL距离很小,说明VPFlow转换的分布和VAE的分布相近。
但是怎么证明VPFlow转换的zp是正态分布呢?是不是还应该保证logpx和logqx足够高呢?
The text was updated successfully, but these errors were encountered: