这是论文索引仓库，本身不含可运行代码，需进入各论文对应的 GitHub 仓库安装；部分条目没有开源仓库，只有论文链接
Awesome-Style-Transfer-with-Diffusion-Models
Westlake-AGI-Lab活跃维护整理扩散模型风格迁移最新方法的资源清单，涵盖文本到图像、文本到视频等方向，方便快速查找和对比相关论文与实现。
A curated list of recent style transfer methods with diffusion models
暂无版本205star15fork同步于 2026-11-07 07:30 UTC
扩散模型风格迁移论文合集，按风格编码机制分类，帮你快速定位该用哪类方法
整理扩散模型风格迁移最新方法的资源清单，涵盖文本到图像、文本到视频等方向，方便快速查找和对比相关论文与实现。
核心能力
- 按图像编码器、注意力特征替换、LoRA、优化式方法分类论文
- 覆盖图像合成、视频合成、3D 生成与风格数据集
- 每篇论文附 arXiv 链接、GitHub 仓库与发表时间
- 按风格图像编码方式组织，便于判断前馈任意风格还是单风格
- 收录基础与应用模型及综述类相关工作
容易踩的坑
内容由模型根据 README 生成，可能不完整或不准确，以官方文档为准。看原文 README
暂无 release 数据（可能没有发版，或尚未同步）。
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🥳Awesome Style Transfer with Diffusion Models 
🤗 Introduction
-
This repository contains a curated list of Style Transfer with Diffusion Models. The resources are organized into two main categories: Image Synthesis and Video Synthesis.
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We welcome any contributions and suggestions to our repository or the addition of your own work. Feel free to make a pull request or leave your comments!!
📋 Contents
- 🤗 Introduction
- 📋 Contents
- 🤔 Perspectives
- 📍 Image Synthesis
- 📍 Video Synthesis
- 📍 3D Generation
- 📍 Style Dataset
- 📍 Related Research and Surveys
🤔 Perspectives
A personal view from the maintainers, September 2026.
Style is vague and hard to define. Seen from one angle, style is also a kind of semantics, and the difficulty of this task lies in separating out the many different kinds of semantics. The diversity of style itself then makes that separation and disentanglement harder.
Style transfer is also more of an application, and every user has their own view of it.
We reorganized the paper taxonomy to focus more on how a method encodes the style image. For example, an image encoder is a feed-forward any-style method, while a LoRA-based method applies to a single style.
📍 Image Synthesis
In the context of Image Style Transfer, the techniques can be categorized into two primary types: text-driven style transfer and image-driven style transfer and the techniques are organized by the mechanism that carries the style: image encoders and adapters, attention feature swapping, LoRA, and optimization-based methods.
Foundation & Application Models
Image-Encoder Based
Swap Features In Attention Layer
Optimization-Based Methods
LoRA-Based Methods
📍 Video Synthesis
📍 3D Generation
📍 Style Dataset
📍 Related Research and Surveys
stable-diffusion-webui
AUTOMATIC1111·Python
基于 Gradio 的 Stable Diffusion 网页界面，把文生图、图生图、局部重绘等能力做成可视化操作面板，不用写代码就能跑图像生成。
图像生成+4图像生成
165287+4131kv1.10.12026-03-02 07:00 UTC
ComfyUI
Comfy-Org·Python
基于节点图的扩散模型图形界面与后端，支持本地快速推理和 API 调用，方便搭建和调试图像生成工作流。
扩散模型+4图像生成
146180+69417kv0.45.02026-11-10 22:53 UTC
OpenMontage
OpenMontageInc·Python
把 Claude、Cursor 等 AI 编程助手变成完整视频制作工作室，内置 12 条制作流水线和 100+ 工具，覆盖脚本、配音、图像生成到剪辑全流程。
视频制作+4图像生成
79416+76211k2026-11-09 06:23 UTC
OpenMontage
calesthio·Python
把 Claude、Cursor 等 AI 编程助手变成完整的视频制作工作室，内置 12 条制作流水线和 100+ 工具，覆盖从生成到剪辑的全流程。
视频制作+4图像生成
7786710k2026-11-03 17:42 UTC