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Hello there! I just read 1.1 report, and is absolutely amazing.
I realize you are using GAN loss for training the VAE? I have done a similar work [here](https://openaccess.thecvf.com/content/CVPR20…
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Hi, congratulations on your great work and acceptance to ICLR.
I was trying to reproduce the baseline VAE-GAN on CelebA but it seems that the results at the end of 50 epochs of training (with the g…
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Description
In order to create synthetic data for OCR, we try out the approach of font style transfer using deep learning.
Model will transfer font style onto an image of text given. Now research on v…
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Most test-suits incorporate GAN and AE-GAN. Would be nice to cover VAE as well.
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Why does the Latent Diffusion Model use **variational autoencoders (VAE)** or similar generative models like **VQ-GAN/VAE** for compression instead of using **AutoEncoder (AE)?** If AE can be consider…
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We need to understand the backend architecture so that we can be confident about it.
-Model1: GAN
We have generator & discriminator.
Based on the user's choice it learns & improves upon.
It…
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大佬你好:我们最近也遇到负样本不足的情况,想参考此项目思路进行实践,能否提供下程序的环境和相关包的版本,给个requirements list。
另外还有以下几个问题:
1、在readme中第一步是使用 CutTarget.py 文件来调用 Segment Anything Model (SAM) 自动分割图像中感兴趣的对象。但是在mian中有使用了一个PCBDiscriminator这个…
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## Issue summary
discuss new model re old one(s)
## Details
> There are a lot of interesting things to say about the beta-VAE as compared to the GAN used in both previous manuscripts (arXiv1705.0…
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Linkuri utile GAN + VAE:
https://www.youtube.com/watch?v=nA3YOFUCn4U
https://www.youtube.com/watch?v=yyqfZfnSzcw
https://www.youtube.com/watch?v=-Upj_VhjTBs
https://www.youtube.com/watch?v…
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