collage-layout-expert

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Chinese

Collage & Layout Composition Expert

拼贴与布局构图专家

Expert in ALL forms of computational collage composition - from Instagram grids to Hockney joiners, from magazine layouts to generative art.

精通所有计算式拼贴构图形式——从Instagram网格布局到霍克尼拼接法，从杂志排版到生成式艺术。

When to Use This Skill

何时使用该技能

✅ Use for:

Grid Collages: Instagram profiles, regular layouts, tiled compositions
Photo Mosaics: Small images forming larger pictures
Hockney-Style Joiners: Multi-perspective photographic assemblies
Scrapbook/Journal: Mixed media with text, frames, embellishments
Magazine/Editorial: Professional layouts with text integration
Vision/Mood Boards: Inspiration collections, design references
Memory Walls: Scattered Polaroid-style arrangements
Social Media: Stories, carousel previews, profile grids
Abstract/Generative: Algorithmic and procedural arrangements
Art-Historical: Dadaist, Surrealist, Pop Art styles

❌ Do NOT use for:

Simple image editing → native-app-designer
Generating new images → Stability AI
Single photo quality → photo-composition-critic
Image similarity search → clip-aware-embeddings
Color palette extraction → color-theory-palette-harmony-expert

✅ 适用场景：

网格拼贴：Instagram个人主页、常规布局、平铺构图
照片马赛克：由小图像组成的大型画面
霍克尼风格拼接法：多视角摄影拼接作品
剪贴簿/日志：融合文本、边框、装饰元素的混合媒介
杂志/排版：整合文本的专业布局
愿景板/情绪板：灵感合集、设计参考
记忆墙：宝丽来风格的分散式排列
社交媒体：故事帖、轮播预览、个人主页网格
抽象/生成式：算法化和程序化排列
艺术史风格：达达主义、超现实主义、波普艺术风格

❌ 请勿用于：

简单图像编辑 → native-app-designer
生成新图像 → Stability AI
单张照片画质优化 → photo-composition-critic
图像相似度搜索 → clip-aware-embeddings
调色板提取 → color-theory-palette-harmony-expert

Expert vs Novice Shibboleths

专家与新手的区别

Topic	Novice	Expert
Layout	"Just arrange randomly"	Visual weight, balance, golden ratio
Blending	Hard edges or simple feather	Poisson blending preserves gradients
Color	"Match colors manually"	Optimal transport; LAB space advantages
Composition	Fills all space	Negative space as design element
Scale	Same size for everything	Varies scale for hierarchy
Mosaic	"More tiles = better"	Tile size vs. recognition tradeoff
Hockney	"Stitch seamlessly"	Imperfection IS the technique

主题	新手做法	专家做法
布局	"随意排列即可"	考虑视觉重量、平衡、黄金比例
融合	硬边缘或简单羽化	使用Poisson blending保留渐变效果
色彩	"手动匹配颜色"	采用最优传输算法；利用LAB色彩空间的优势
构图	填满所有空间	将负空间作为设计元素
比例	所有图像尺寸相同	调整比例以建立层级结构
马赛克	"瓷砖越多越好"	权衡瓷砖尺寸与辨识度
霍克尼风格	"完美拼接成全景"	不完美才是该技法的核心

Decision Tree: Choosing a Style

风格选择决策树

What's the purpose?

Systematic display → Grid Collage
Artistic portrait from photos → Photo Mosaic
Personal memories → Scrapbook or Memory Wall
Design inspiration → Mood Board
Professional/publication → Magazine Layout
Social media → Social Templates
Art project → Hockney/Dadaist/Surrealist

What's the vibe?

Clean, modern → Grid with tight gutters
Nostalgic, warm → Polaroid scatter, vintage frames
Edgy, disruptive → Dadaist sharp cuts
Dreamy, surreal → Seamless Poisson blending
Cubist, intellectual → Hockney joiners

你的目的是什么？

系统化展示 → 网格拼贴
用照片创作艺术肖像 → 照片马赛克
记录个人回忆 → 剪贴簿或记忆墙
获取设计灵感 → 情绪板
专业出版/发布 → 杂志排版
社交媒体传播 → 社交媒体模板
艺术项目创作 → 霍克尼/达达主义/超现实主义风格

你想要的氛围是？

简洁、现代 → 窄间距网格布局
怀旧、温暖 → 宝丽来分散式排列、复古边框
前卫、颠覆性 → 达达主义锐利剪裁
梦幻、超现实 → 无缝Poisson融合
立体、知性 → 霍克尼拼接法

Core Algorithms (Summary)

核心算法（摘要）

Algorithm	Use Case	Performance
Edge-Based Assembly	Hockney joiners	0.5s for 10 photos
Poisson Blending	Seamless transitions	20ms (512×512)
Optimal Transport	Color harmonization	Real-time w/ affine approx
Force-Directed	Organic scatter	200ms (50 images)
K-d Tree Matching	Photo mosaic tiles	2s for 10k tiles

→ See

references/algorithms.md

for full implementations.

算法	适用场景	性能表现
基于边缘的拼接	霍克尼拼接法	10张照片耗时<0.5秒
Poisson Blending	无缝过渡效果	512×512图像耗时20毫秒
最优传输算法	色彩协调	仿射近似下实时处理
力导向算法	有机分散排列	50张图像耗时200毫秒
K-d树匹配	照片马赛克瓷砖	10000块瓷砖耗时2秒

→ 完整实现请查看

references/algorithms.md

Anti-Patterns to Avoid

需避免的反模式

1. Ignoring Visual Weight

1. 忽略视觉重量

What it looks like: All images same size, random placement Why it's wrong: No focal point, viewer's eye wanders aimlessly Fix: Establish 60/30/10 hierarchy with one hero image

表现：所有图像尺寸相同，随机放置问题：没有视觉焦点，观者视线无目的游走 解决方法：建立60/30/10层级结构，设置一张主视觉图像

2. Over-Saturating the Canvas

2. 过度填满画布

What it looks like: Every pixel filled with image content Why it's wrong: Visual claustrophobia, no breathing room Fix: Use negative space intentionally (20-30% white space minimum)

表现：画布每个像素都被图像内容占据问题：视觉压迫感，没有呼吸空间 解决方法：刻意使用负空间（至少保留20-30%留白）

3. Linear FFT for Color Matching

3. 使用线性FFT进行颜色匹配

What it looks like: Poor perceptual color matches Why it's wrong: RGB is not perceptually uniform Fix: Use LAB color space for matching

表现：感知色彩匹配效果差问题：RGB色彩空间并非感知均匀的空间 解决方法：使用LAB色彩空间进行匹配

4. Seamless Hockney Joiners

4. 制作无缝霍克尼拼接作品

What it looks like: Perfectly stitched panorama Why it's wrong: Misses the entire point - multiple perspectives Fix: Embrace ±2° rotation variance, 5-15% overlap, intentional gaps

表现：完美拼接的全景图问题：完全偏离技法核心——多视角呈现 解决方法：接受±2°的旋转差异、5-15%的重叠区域、刻意留出间隙

5. Global Poisson Blending

5. 全局应用Poisson Blending

What it looks like: Entire image becomes washed out Why it's wrong: Destroys local contrast, looks fake Fix: Apply locally at seams only, preserve source gradients

表现：整张图像变得暗淡褪色问题：破坏局部对比度，看起来不真实 解决方法：仅在接缝处局部应用，保留源图像的渐变效果

6. Reusing Mosaic Tiles

6. 重复使用马赛克瓷砖

What it looks like: Obvious repetition patterns in mosaic Why it's wrong: Human eye detects patterns immediately Fix: Track tile usage, penalize reuse, use larger tile library

表现：马赛克中出现明显的重复图案问题：人眼会立刻识别出重复模式 解决方法：追踪瓷砖使用情况，惩罚重复使用，使用更大的瓷砖库

MCP Integrations

MCP集成

MCP	Purpose
Stability AI	Generate backgrounds, textures, missing elements
Firecrawl	Research techniques, algorithm papers, art history
WebFetch	Fetch documentation, tutorials, design references

MCP	用途
Stability AI	生成背景、纹理、缺失元素
Firecrawl	研究技法、算法论文、艺术史资料
WebFetch	获取文档、教程、设计参考

Performance Targets

性能目标

Operation	Mac M2	iPhone 15 Pro
Grid layout (20 photos)	<50ms	<100ms
Photo mosaic (10k tiles)	2s	5s
Force-directed (50 images)	200ms	500ms
Poisson blending (512×512)	20ms	50ms
Hockney assembly (10 photos)	0.5s	2s

操作	Mac M2	iPhone 15 Pro
网格布局（20张照片）	<50毫秒	<100毫秒
照片马赛克（10000块瓷砖）	2秒	5秒
力导向排列（50张图像）	200毫秒	500毫秒
Poisson融合（512×512）	20毫秒	50毫秒
霍克尼拼接（10张照片）	0.5秒	2秒

References

参考资料

→

references/collage-types.md

- Grid, mosaic, scrapbook, magazine, social templates →

references/art-historical-styles.md

- Hockney, Dadaist, Surrealist, Rauschenberg →

references/algorithms.md

- Edge assembly, Poisson, optimal transport, force-directed →

references/advanced-techniques.md

- Cross-photo interactions, narrative sequences →

references/implementation-guide.md

- Metal shaders, Core ML, performance

→

references/collage-types.md

- 网格、马赛克、剪贴簿、杂志、社交媒体模板 →

references/art-historical-styles.md

- 霍克尼、达达主义、超现实主义、劳森伯格 →

references/algorithms.md

- 边缘拼接、Poisson、最优传输、力导向算法 →

references/advanced-techniques.md

- 跨照片交互、叙事序列 →

references/implementation-guide.md

- Metal着色器、Core ML、性能优化

Integrates With

集成对象

photo-composition-critic - Assess individual photos before collaging
color-theory-palette-harmony-expert - Extract/match color palettes
clip-aware-embeddings - Semantic grouping of images
native-app-designer - Build collage creation UI
metal-shader-expert - GPU-accelerated blending/effects

Remember: Great collages tell stories through arrangement. Whether grid-precise or Hockney-chaotic, the layout serves the narrative. Master both the math and the art.

photo-composition-critic - 拼贴前评估单张照片
color-theory-palette-harmony-expert - 提取/匹配调色板
clip-aware-embeddings - 图像语义分组
native-app-designer - 构建拼贴创作UI
metal-shader-expert - GPU加速融合/特效

记住：优秀的拼贴作品通过排列讲述故事。无论是精准的网格布局还是充满个性的霍克尼式混乱，布局都要为叙事服务。既要精通背后的数学原理，也要深谙艺术之道。