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In the paper, it seems like a Conditional Variational Autoencoder (cVAE) was used for MNIST, but the code looks more like a standard VAE. Is the difference between VAE and cVAE not significant in this…
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In this issue you can either:
- **Add papers** that you think are interesting to read and discuss (please stick to the format).
- **vote**: should be done using :+1: on comments
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CopmfyUI runs fine in A1111 on http://0.0.0.0:7860/, so I can confirm it's working, but the ComfyUI tab just shows a blank, black page. The browser console only reports a 404 for openpose_editor.js, …
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Please check whether this paper is about 'Voice Conversion' or not.
## article info.
- title: **Conditional Deep Hierarchical Variational Autoencoder for Voice
Conversion**
- summary: Variational …
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Please check whether this paper is about 'Voice Conversion' or not.
## article info.
- title: **ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary
classifier variational autoencoder…
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Dear `shapr`,
First of all, congrats on your interesting paper: "[Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features](https://jmlr.org/pape…
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Please check whether this paper is about 'Voice Conversion' or not.
## article info.
- title: **Towards Improved Zero-shot Voice Conversion with Conditional DSVAE**
- summary: Disentangling content …
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微博内容精选
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Please check whether this paper is about 'Voice Conversion' or not.
## article info.
- title: **AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss**
- summary: Non-parallel many-to-ma…
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What is the difference between DDSM and VQ-Diffusion ?