39 lines
704 B
Markdown
39 lines
704 B
Markdown
# Diffusion
|
||
Introduced by Ho et al. in Denoising Diffusion Probabilistic Models https://arxiv.org/pdf/2006.11239v2
|
||
|
||
## 1.Description
|
||
|
||
## 2.Background
|
||
各式各样的深度生成模型最近都表现出了高质量样本数据模式：生成对抗网络GANs、自回归模型、流和变分自编码器VAE已经合成出了图像和样本
|
||
|
||
扩散模型(Diffusion Probabilistic model)是一个参数化马尔可夫链
|
||
|
||
## 3.Papers & Methods
|
||
*
|
||
*
|
||
*
|
||
*
|
||
## 4.Networks
|
||
|
||
|
||
## 5.Comparision
|
||
| Method | Venue | | |
|
||
|--|--|--|--|
|
||
| | | | |
|
||
|
||
## 1.Denoising
|
||
### 1）Description
|
||
|
||
### 2）
|
||
|
||
|
||
|
||
|
||
## 2.Image Generation
|
||
|
||
## 3.Image Reconstruction
|
||
|
||
## 4.Inpainting
|
||
|
||
## 5.Video Generation
|