【DDPM】

DDPM

Diffusion Models从入门到放弃：必读的10篇经典论文 - 知乎

Diffusion Models专栏文章汇总：入门与实战 - 知乎

2万字长文看透基于扩散模型的图像编辑理论和实践！（中科院&南科大&苹果&Adobe） - 知乎

When LLMs Meet Diffusion Models：浅谈LLMs与Text-to-Image Diffusion Models中的文本编码 - 知乎

扩散模型(Diffusion Model)首篇综述-Diffusion Models: A Comprehensive Survey of Methods and Applications - 知乎

(1 封私信 / 2 条消息) diffusion model 最近在图像生成领域大红大紫，如何看待它的风头开始超过 GAN ？ - 知乎

extension://ngbkcglbmlglgldjfcnhaijeecaccgfi/https://luchengthu.github.io/files/chenglu_dissertation.pdf 

 TRANFORMER

注意多头概念，会体现在代码中

【超详细】【原理篇&实战篇】一文读懂Transformer-优快云博客

Transformer模型详解（图解最完整版） - 知乎

文生图之SD3：迈向transformer时代 - 知乎

细节拉满，全网最详细的Transformer介绍（含大量插图）！ - 知乎

What the DAAM: Interpreting Stable Diffusion Using Cross Attention-优快云博客

CLIP

【小白】一文读懂CLIP图文多模态模型_clip模型-优快云博客

神器CLIP：连接文本和图像，打造可迁移的视觉模型 - 知乎

【CLIP系列Paper解读】CLIP: Learning Transferable Visual Models From Natural Language Supervision - 知乎

【CLIP】多模态预训练模型CLIP论文详解-优快云博客

SDE 随机微分方程 

(70 封私信 / 10 条消息) BenShui - 知乎 (zhihu.com)https://www.zhihu.com/people/zhong-shan-15-34/posts(70 封私信 / 10 条消息) 小小鱼 - 知乎 (zhihu.com)https://www.zhihu.com/people/yu-wei-min-99/posts?page=2

生成扩散模型漫谈（五）：一般框架之SDE篇 - 科学空间|Scientific Spaces (kexue.fm)https://kexue.fm/archives/9209

ODE

生成扩散模型漫谈（六）：一般框架之ODE篇 - 科学空间|Scientific Spaces (kexue.fm)https://kexue.fm/archives/9228

IDDPM

【笔记】扩散模型（三）：Improved DDPM 理论推导与代码实现-优快云博客https://blog.youkuaiyun.com/LittleNyima/article/details/140102947?spm=1001.2014.3001.5502

Score-based Generative Models

构建了一个相当一般化的生成扩散模型理论框架，将DDPM、SDE、ODE等诸多结果联系了起来

 [生成模型新方向]: score-based generative models-优快云博客https://blog.youkuaiyun.com/g11d111/article/details/118026427?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522B7F06406-9371-4183-9AF8-9366098B21A8%2522%252C%2522scm%2522%253A%252220140713.130102334.pc%255Fall.%2522%257D&request_id=B7F06406-9371-4183-9AF8-9366098B21A8&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~first_rank_ecpm_v1~rank_v31_ecpm-6-118026427-null-null.142%5Ev100%5Epc_search_result_base1&utm_term=Score-Based%20Generative%20Models%20%28SGMs%29&spm=1018.2226.3001.4187【笔记】Score-based Generative Models（一）：一文通览基础理论-优快云博客https://blog.youkuaiyun.com/LittleNyima/article/details/140214080?spm=1001.2014.3001.5502

【笔记】Score-based Generative Models（二）：基于 SDE 的模型_score based sde-优快云博客https://blog.youkuaiyun.com/LittleNyima/article/details/140347876?spm=1001.2014.3001.5502

Classifier

【笔记】扩散模型（四）：Classifier Guidance 理论推导与代码实现-优快云博客https://blog.youkuaiyun.com/LittleNyima/article/details/140870733?spm=1001.2014.3001.5502

Classifier-Free

【笔记】扩散模型（四）：Classifier Guidance 理论推导与代码实现-优快云博客https://blog.youkuaiyun.com/LittleNyima/article/details/140926442?spm=1001.2014.3001.5502

【笔记】扩散模型（五）：Classifier-Free Guidance 理论推导与代码实现_classifier-free guidance条件扩散模型python代码-优快云博客https://blog.youkuaiyun.com/LittleNyima/article/details/140926442?spm=1001.2014.3001.5502