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 …

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 …

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 …

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？ …

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） …

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 …

Jan 1, 2023 · VAE - essentially a side model that helps some models make sure the colors are right. some models have one built in and don't need it, others need the external one (like anything V3). …

表征学习领域的进展，最初由监督学习推动，基于大量标注过的数据集取得了令人印象深刻的结果。另一方面，无监督学习长期以来一直基于概率方法处理低维数据。近几年来，这两种方法呈现出一种融合 …

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.

The "VAE" in the context of latent diffusion isn't really a VAE. It's more like a glorified downsample-upsample model. I mean that's kind of what a VAE is to begin with. The encoder downsamples, or …