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## 扩散模型
## GAN模型
## 一致性模型(Consistency Model)
其一,无需对抗训练(adversarial training),就能直接生成高质量的图像样本。
其二,相比扩散模型可能需要几百甚至上千次迭代,一致性模型只需要**一两步**就能搞定多种图像任务——
包括上色、去噪、超分等,都可以在几步之内搞定,而不需要对这些任务进行明确训练。(当然,如果进行…
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Hi,
I synthesized converted speeches of this three models, VAE, CDVAE and CDVAE-CLS-GAN separately. The results of CDVAE-CLS-GAN model sound worst. Is it supposed to be like this? Or anything I m…
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Since the current VAEs and GANs don't look satisfactory, you might want to try some diffusion models. Hugging Face's [diffusers](https://github.com/huggingface/diffusers) will be a good starting point…
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Thanks for sharing this great work!
I run into this issue when training ours_savp on kth dataset, the training looks going properly, but is very slow.
```
running train_op took too long (7.2s)
r…
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During train causalvae, It seems that the "logvar" parameter in discriminator loss can't receive any gradient, since opt1.zero_grad() clear the gradient from gan loss and logvar is not used in disclos…
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Hello,
in GAN.py fraction_loss_gan default value is 0,95. This means that the binary cross entropy loss has a bigger weight compared to vae loss.
In the paper, an other alpha is defined, which has…
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# URL
- https://arxiv.org/abs/2409.15173
# Affiliations
- Yashar Deldjoo, N/A
- Zhankui He, N/A
- Julian McAuley, N/A
- Anton Korikov, N/A
- Scott Sanner, N/A
- Arnau Ramisa, N/A
- Rene …
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项目运行需要很多的pth文件,如何获取?
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## 💭 Description:
Add models classified as generative models or in the context of Representation Learning in general.
## 📍 Where:
In the [Models](https://github.com/divyanshugit/representation_le…
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GAN / DCGAN을 차례로 구현할 예정입니다.
VAE 구현 중 Reparameterization에 대한 개념이 나왔는데,
개인적으로 그 부분에 대한 이해가 조금 더 필요할 것 같습니다.