Nov 28, 2022 · A VAE is a variational autoencoder. An autoencoder is a model (or part of a model) that is trained to produce its input as output. By giving the model less information to represent the data …

VAE、GAN 这种生成模型和 transformer 有什么区别？ 想问问为什么在分子生成中大部分选择使用VAE、GAN这种生成模型，而不使用transformer进行生成，这两种直接有什么本质的区别吗？ …

May 31, 2023 · You seem to have some misconceptions when it comes to VAE. The VAE is what gets you from latent space to pixelated images and vice versa. There's hence no such thing as "no VAE" …

若只是为了提取中间隐层信息（作降维用），VAE（变分自动编码器）相比AE（自编码器），DAE（降噪自动编码…

最后说一下比较有意思的事： VAE、GAN、Flow (NICE)三种模型都是2013-2014年提出来的（VAE是13年放到arXiv上的，后来中了NIPS；GAN也同时中了NIPS，而NICE最早是14年的一个ICLR …

Jan 23, 2024 · The warning suggests that you replace the VAE Decode node with the VAE Decode Tiled version and try re-running the workflow. If it had run out of memory earlier in the workflow it might …

Mar 8, 2023 · A VAE renders the image, the last step after all the AI magic. I think of them as final-step photoshop filters, because there are subtle differences in how they present the image vs other VAEs.

Dec 2, 2022 · A VAE extends this concept by making the middle part, or the .zip file probabilistic instead of simply flat encoded data at rest. A little bit of an mathematical annoyance, but it makes it more …

为什么vae效果不好，但vae+diffusion效果就好了？ vae本身生成图像模糊，说明encoder、decoder以及中间的隐层表示没有学到本质的东西。 SD在训练时又把VAE冻结了，为什么在隐层用diffu… 显示全 …

3. Vector Quantized Variational Autoencoder (VQVAE) / Discrete VAE (DVAE)： - VQVAE是对传统VAE的改进，它引入了离散的潜在表示。 VQVAE使用了一种称为向量量化（Vector Quantization） …