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License: Apache License 2.0
Code for the paper: Distilling the Knowledge from Conditional Normalizing Flows
License: Apache License 2.0
Hi, @dbaranchuk. Thank you for your great work.
After reading this paper 'Distilling the Knowledge from Conditional Normalizing Flows', I have a questions here.
In this article, only super-resolution images and speech synthesis are done. Why not super-resolution and sample generation for both data types(image and speech)? Is it because the SRFlow model only processes images, while WaveGlow model only does speech synthesis?
Thank you.
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