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|  | # 2D-Generation | ||||||
|  | Stable Diffusion3 | ||||||
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|  | # 3D-Generation | ||||||
|  | Wonder3D | ||||||
|  | 
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|  | # Video Generation | ||||||
|  | KLING | ||||||
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|  | # 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 | ||||||
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