diff --git a/Docs/2024-10-24/DiffusionModelFamily.md b/Docs/2024-10-24/DiffusionModelFamily.md new file mode 100644 index 0000000..5e27f61 --- /dev/null +++ b/Docs/2024-10-24/DiffusionModelFamily.md @@ -0,0 +1,11 @@ +# 2D-Generation +Stable Diffusion3 + + +# 3D-Generation +Wonder3D + +# Video Generation +KLING + +# \ No newline at end of file diff --git a/Docs/2024-10-24/DiffusionTasks.png b/Docs/2024-10-24/DiffusionTasks.png new file mode 100644 index 0000000..8106e6f Binary files /dev/null and b/Docs/2024-10-24/DiffusionTasks.png differ diff --git a/Docs/2024-10-24/Survey.md b/Docs/2024-10-24/Survey.md new file mode 100644 index 0000000..bfac580 --- /dev/null +++ b/Docs/2024-10-24/Survey.md @@ -0,0 +1,38 @@ +# Diffusion +Introduced by Ho et al. in Denoising Diffusion Probabilistic Models https://arxiv.org/pdf/2006.11239v2 +![Alt text](DiffusionTasks.png) +## 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