paper-2-web
Compare original and translation side by side
🇺🇸
Original
English🇨🇳
Translation
ChinesePaper2All: Academic Paper Transformation Pipeline
Paper2All：学术论文转换流水线
Overview
概述
This skill enables the transformation of academic papers into multiple promotional and presentation formats using the Paper2All autonomous pipeline. The system converts research papers (LaTeX or PDF) into three primary outputs:
- Paper2Web: Interactive, explorable academic homepages with layout-aware design
- Paper2Video: Professional presentation videos with narration, slides, and optional talking-head
- Paper2Poster: Print-ready conference posters with professional layouts
The pipeline uses LLM-powered content extraction, design generation, and iterative refinement to create high-quality outputs suitable for conferences, journals, preprint repositories, and academic promotion.
该Skill借助Paper2All自主流水线，可将学术论文转换为多种推广和展示格式。系统将研究论文（LaTeX或PDF格式）转换为三种主要输出形式：
- Paper2Web：具备布局感知设计的交互式、可探索学术主页
- Paper2Video：包含旁白、幻灯片及可选虚拟发言人的专业演示视频
- Paper2Poster：拥有专业布局的可打印会议海报
该流水线采用LLM驱动的内容提取、设计生成和迭代优化功能，可生成适用于会议、期刊、预印本库和学术推广的高质量输出内容。
When to Use This Skill
何时使用该Skill
Use this skill when:
- Creating conference materials: Posters, presentation videos, and companion websites for academic conferences
- Promoting research: Converting published papers or preprints into accessible, engaging web formats
- Preparing presentations: Generating video abstracts or full presentation videos from paper content
- Disseminating findings: Creating promotional materials for social media, lab websites, or institutional showcases
- Enhancing preprints: Adding interactive homepages to bioRxiv, arXiv, or other preprint submissions
- Batch processing: Generating promotional materials for multiple papers simultaneously
Trigger phrases:
- "Convert this paper to a website"
- "Generate a conference poster from my LaTeX paper"
- "Create a video presentation from this research"
- "Make an interactive homepage for my paper"
- "Transform my paper into promotional materials"
- "Generate a poster and video for my conference talk"
在以下场景中使用该Skill：
- 制作会议材料：为学术会议制作海报、演示视频及配套网站
- 推广研究成果：将已发表论文或预印本转换为易获取、具吸引力的网页格式
- 准备演示内容：从论文内容生成视频摘要或完整演示视频
- 传播研究发现：为社交媒体、实验室网站或机构展示制作推广材料
- 优化预印本：为bioRxiv、arXiv或其他预印本提交内容添加交互式主页
- 批量处理：同时为多篇论文生成推广材料
触发短语：
- "将这篇论文转换为网站"
- "从我的LaTeX论文生成会议海报"
- "基于这项研究创建演示视频"
- "为我的论文制作交互式主页"
- "将我的论文转换为推广材料"
- "为我的会议报告生成海报和视频"
Visual Enhancement with Scientific Schematics
借助科学示意图增强视觉效果
When creating documents with this skill, always consider adding scientific diagrams and schematics to enhance visual communication.
If your document does not already contain schematics or diagrams:
- Use the scientific-schematics skill to generate AI-powered publication-quality diagrams
- Simply describe your desired diagram in natural language
- Nano Banana Pro will automatically generate, review, and refine the schematic
For new documents: Scientific schematics should be generated by default to visually represent key concepts, workflows, architectures, or relationships described in the text.
How to generate schematics:
bash
python scripts/generate_schematic.py "your diagram description" -o figures/output.pngThe AI will automatically:
- Create publication-quality images with proper formatting
- Review and refine through multiple iterations
- Ensure accessibility (colorblind-friendly, high contrast)
- Save outputs in the figures/ directory
When to add schematics:
- Paper transformation pipeline diagrams
- Website layout architecture diagrams
- Video production workflow illustrations
- Poster design process flowcharts
- Content extraction diagrams
- System architecture visualizations
- Any complex concept that benefits from visualization
For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.
使用该Skill创建文档时，务必考虑添加科学图表和示意图以提升视觉传达效果。
如果你的文档尚未包含示意图或图表：
- 使用scientific-schematics Skill生成AI驱动的出版级图表
- 只需用自然语言描述你想要的图表
- Nano Banana Pro将自动生成、审核并优化该示意图
对于新文档：默认应生成科学示意图，以可视化呈现文本中描述的关键概念、工作流程、架构或关系。
如何生成示意图：
bash
python scripts/generate_schematic.py "your diagram description" -o figures/output.pngAI将自动：
- 创建符合出版格式要求的高质量图片
- 通过多轮迭代进行审核和优化
- 确保可访问性（色盲友好、高对比度）
- 将输出保存至figures/目录
何时添加示意图：
- 论文转换流水线图
- 网站布局架构图
- 视频制作工作流程图
- 海报设计过程流程图
- 内容提取示意图
- 系统架构可视化图
- 任何需要可视化的复杂概念
有关创建示意图的详细指南，请参考scientific-schematics Skill文档。
Core Capabilities
核心功能
1. Paper2Web: Interactive Website Generation
1. Paper2Web：交互式网站生成
Converts papers into layout-aware, interactive academic homepages that go beyond simple HTML conversion.
Key Features:
- Responsive, multi-section layouts adapted to paper content
- Interactive figures, tables, and citations
- Mobile-friendly design with navigation
- Automatic logo discovery (with Google Search API)
- Aesthetic refinement and quality assessment
Best For: Post-publication promotion, preprint enhancement, lab websites, permanent research showcases
→ See for detailed documentation
references/paper2web.md将论文转换为具备布局感知能力的交互式学术主页，而非简单的HTML转换。
核心特性：
- 适配论文内容的响应式多板块布局
- 交互式图表、表格和引用
- 支持移动端的导航设计
- 自动识别机构标识（借助Google Search API）
- 美学优化与质量评估
最佳适用场景：论文发表后推广、预印本优化、实验室网站、研究成果永久展示
→ 详见获取详细文档
references/paper2web.md2. Paper2Video: Presentation Video Generation
2. Paper2Video：演示视频生成
Generates professional presentation videos with slides, narration, cursor movements, and optional talking-head video.
Key Features:
- Automated slide generation from paper structure
- Natural-sounding speech synthesis
- Synchronized cursor movements and highlights
- Optional talking-head video using Hallo2 (requires GPU)
- Multi-language support
Best For: Video abstracts, conference presentations, online talks, course materials, YouTube promotion
→ See for detailed documentation
references/paper2video.md生成包含幻灯片、旁白、光标移动及可选虚拟发言人视频的专业演示视频。
核心特性：
- 基于论文结构自动生成幻灯片
- 自然流畅的语音合成
- 同步的光标移动与高亮效果
- 可选虚拟发言人视频（使用Hallo2，需GPU支持）
- 多语言支持
最佳适用场景：视频摘要、会议演示、线上讲座、课程材料、YouTube推广
→ 详见获取详细文档
references/paper2video.md3. Paper2Poster: Conference Poster Generation
3. Paper2Poster：会议海报生成
Creates print-ready academic posters with professional layouts and visual design.
Key Features:
- Custom poster dimensions (any size)
- Professional design templates
- Institution branding support
- QR code generation for links
- High-resolution output (300+ DPI)
Best For: Conference poster sessions, symposiums, academic exhibitions, virtual conferences
→ See for detailed documentation
references/paper2poster.md创建具备专业布局和视觉设计的可打印学术海报。
核心特性：
- 自定义海报尺寸（任意大小）
- 专业设计模板
- 支持机构品牌标识
- 生成链接二维码
- 高分辨率输出（300+ DPI）
最佳适用场景：会议海报展示、专题研讨会、学术展览、虚拟会议
→ 详见获取详细文档
references/paper2poster.mdQuick Start
快速开始
Prerequisites
前提条件
-
Install Paper2All:bash
git clone https://github.com/YuhangChen1/Paper2All.git cd Paper2All conda create -n paper2all python=3.11 conda activate paper2all pip install -r requirements.txt -
Configure API Keys (createfile):
.envOPENAI_API_KEY=your_openai_api_key_here # Optional: GOOGLE_API_KEY and GOOGLE_CSE_ID for logo search -
Install System Dependencies:
- LibreOffice (document conversion)
- Poppler utilities (PDF processing)
- NVIDIA GPU with 48GB (optional, for talking-head videos)
→ See for complete installation guide
references/installation.md-
安装Paper2All：bash
git clone https://github.com/YuhangChen1/Paper2All.git cd Paper2All conda create -n paper2all python=3.11 conda activate paper2all pip install -r requirements.txt -
配置API密钥（创建文件）：
.envOPENAI_API_KEY=your_openai_api_key_here # 可选：用于标识搜索的GOOGLE_API_KEY和GOOGLE_CSE_ID -
安装系统依赖：
- LibreOffice（文档转换）
- Poppler工具（PDF处理）
- NVIDIA GPU（48GB显存，可选，用于虚拟发言人视频）
→ 详见获取完整安装指南
references/installation.mdBasic Usage
基础用法
Generate All Components (website + poster + video):
bash
python pipeline_all.py \
--input-dir "path/to/paper" \
--output-dir "path/to/output" \
--model-choice 1Generate Website Only:
bash
python pipeline_all.py \
--input-dir "path/to/paper" \
--output-dir "path/to/output" \
--model-choice 1 \
--generate-websiteGenerate Poster with Custom Size:
bash
python pipeline_all.py \
--input-dir "path/to/paper" \
--output-dir "path/to/output" \
--model-choice 1 \
--generate-poster \
--poster-width-inches 60 \
--poster-height-inches 40Generate Video (lightweight pipeline):
bash
python pipeline_light.py \
--model_name_t gpt-4.1 \
--model_name_v gpt-4.1 \
--result_dir "path/to/output" \
--paper_latex_root "path/to/paper"→ See for comprehensive workflow examples
references/usage_examples.md生成所有组件（网站 + 海报 + 视频）：
bash
python pipeline_all.py \\
--input-dir "path/to/paper" \\
--output-dir "path/to/output" \\
--model-choice 1仅生成网站：
bash
python pipeline_all.py \\
--input-dir "path/to/paper" \\
--output-dir "path/to/output" \\
--model-choice 1 \\
--generate-website生成自定义尺寸的海报：
bash
python pipeline_all.py \\
--input-dir "path/to/paper" \\
--output-dir "path/to/output" \\
--model-choice 1 \\
--generate-poster \\
--poster-width-inches 60 \\
--poster-height-inches 40生成视频（轻量级流水线）：
bash
python pipeline_light.py \\
--model_name_t gpt-4.1 \\
--model_name_v gpt-4.1 \\
--result_dir "path/to/output" \\
--paper_latex_root "path/to/paper"→ 详见获取全面的工作流示例
references/usage_examples.mdWorkflow Decision Tree
工作流决策树
Use this decision tree to determine which components to generate:
User needs promotional materials for paper?
│
├─ Need permanent online presence?
│ └─→ Generate Paper2Web (interactive website)
│
├─ Need physical conference materials?
│ ├─→ Poster session? → Generate Paper2Poster
│ └─→ Oral presentation? → Generate Paper2Video
│
├─ Need video content?
│ ├─→ Journal video abstract? → Generate Paper2Video (5-10 min)
│ ├─→ Conference talk? → Generate Paper2Video (15-20 min)
│ └─→ Social media? → Generate Paper2Video (1-3 min)
│
└─ Need complete package?
└─→ Generate all three components使用以下决策树确定需要生成哪些组件：
用户需要为论文制作推广材料？
│
├─ 需要永久在线展示？
│ └─→ 生成Paper2Web（交互式网站）
│
├─ 需要实体会议材料？
│ ├─→ 海报展示环节？ → 生成Paper2Poster
│ └─→ 口头报告？ → 生成Paper2Video
│
├─ 需要视频内容？
│ ├─→ 期刊视频摘要？ → 生成Paper2Video（5-10分钟）
│ ├─→ 会议报告？ → 生成Paper2Video（15-20分钟）
│ └─→ 社交媒体？ → 生成Paper2Video（1-3分钟）
│
└─ 需要完整套装？
└─→ 生成全部三个组件Input Requirements
输入要求
Supported Input Formats
支持的输入格式
1. LaTeX Source (Recommended):
paper_directory/
├── main.tex # Main paper file
├── sections/ # Optional: split sections
├── figures/ # All figure files
├── tables/ # Table files
└── bibliography.bib # References2. PDF:
- High-quality PDF with embedded fonts
- Selectable text (not scanned images)
- High-resolution figures (300+ DPI preferred)
1. LaTeX源文件（推荐）：
paper_directory/
├── main.tex # 主论文文件
├── sections/ # 可选：拆分的章节
├── figures/ # 所有图表文件
├── tables/ # 表格文件
└── bibliography.bib # 参考文献2. PDF：
- 嵌入字体的高质量PDF
- 可选择文本（非扫描图像）
- 高分辨率图表（推荐300+ DPI）
Input Organization
输入文件组织
Single Paper:
bash
input/
└── paper_name/
├── main.tex (or paper.pdf)
├── figures/
└── bibliography.bibMultiple Papers (batch processing):
bash
input/
├── paper1/
│ └── main.tex
├── paper2/
│ └── main.tex
└── paper3/
└── main.tex单篇论文：
bash
input/
└── paper_name/
├── main.tex (或paper.pdf)
├── figures/
└── bibliography.bib多篇论文（批量处理）：
bash
input/
├── paper1/
│ └── main.tex
├── paper2/
│ └── main.tex
└── paper3/
└── main.texCommon Parameters
通用参数
Model Selection
模型选择
- : GPT-4 (best balance of quality and cost)
--model-choice 1 - : GPT-4.1 (latest features, higher cost)
--model-choice 2 - : Faster, lower cost (acceptable quality)
--model_name_t gpt-3.5-turbo
- ：GPT-4（质量与成本的最佳平衡）
--model-choice 1 - ：GPT-4.1（最新功能，成本较高）
--model-choice 2 - ：速度更快，成本更低（质量可接受）
--model_name_t gpt-3.5-turbo
Component Selection
组件选择
- : Enable website generation
--generate-website - : Enable poster generation
--generate-poster - : Enable video generation
--generate-video - : Add talking-head to video (requires GPU)
--enable-talking-head
- ：启用网站生成
--generate-website - ：启用海报生成
--generate-poster - ：启用视频生成
--generate-video - ：为视频添加虚拟发言人（需GPU支持）
--enable-talking-head
Customization
自定义设置
- : Custom poster width
--poster-width-inches [width] - : Custom poster height
--poster-height-inches [height] - : Target video length
--video-duration [seconds] - : Automatic institution logo discovery
--enable-logo-search
- ：自定义海报宽度
--poster-width-inches [width] - ：自定义海报高度
--poster-height-inches [height] - ：目标视频时长
--video-duration [seconds] - ：自动识别机构标识
--enable-logo-search
Output Structure
输出结构
Generated outputs are organized by paper and component:
output/
└── paper_name/
├── website/
│ ├── index.html
│ ├── styles.css
│ └── assets/
├── poster/
│ ├── poster_final.pdf
│ ├── poster_final.png
│ └── poster_source/
└── video/
├── final_video.mp4
├── slides/
├── audio/
└── subtitles/生成的输出内容按论文和组件分类组织：
output/
└── paper_name/
├── website/
│ ├── index.html
│ ├── styles.css
│ └── assets/
├── poster/
│ ├── poster_final.pdf
│ ├── poster_final.png
│ └── poster_source/
└── video/
├── final_video.mp4
├── slides/
├── audio/
└── subtitles/Best Practices
最佳实践
Input Preparation
输入准备
- Use LaTeX when possible: Provides best content extraction and structure
- Organize files properly: Keep all assets (figures, tables, bibliography) in paper directory
- High-quality figures: Use vector formats (PDF, SVG) or high-resolution rasters (300+ DPI)
- Clean LaTeX: Remove compilation artifacts, ensure source compiles successfully
- 尽可能使用LaTeX：提供最佳的内容提取和结构支持
- 合理组织文件：将所有资源（图表、表格、参考文献）放在论文目录中
- 高分辨率图表：使用矢量格式（PDF、SVG）或高分辨率光栅图（300+ DPI）
- 整洁的LaTeX代码：移除编译产物，确保源文件可成功编译
Model Selection Strategy
模型选择策略
- GPT-4: Best for production-quality outputs, conferences, publications
- GPT-4.1: Use when you need latest features or best possible quality
- GPT-3.5-turbo: Use for quick drafts, testing, or simple papers
- GPT-4：最适合生成生产级输出内容、会议材料和出版物
- GPT-4.1：当你需要最新功能或最佳质量时使用
- GPT-3.5-turbo：用于快速草稿、测试或简单论文
Component Priority
组件优先级
For tight deadlines, generate in this order:
- Website (fastest, most versatile, ~15-30 min)
- Poster (moderate speed, for print deadlines, ~10-20 min)
- Video (slowest, can be generated later, ~20-60 min)
时间紧张时，按以下顺序生成：
- 网站（速度最快，用途最广，约15-30分钟）
- 海报（速度中等，满足打印截止日期，约10-20分钟）
- 视频（速度最慢，可稍后生成，约20-60分钟）
Quality Assurance
质量保证
Before finalizing outputs:
- Website: Test on multiple devices, verify all links work, check figure quality
- Poster: Print test page, verify text readability from 3-6 feet, check colors
- Video: Watch entire video, verify audio synchronization, test on different devices
在最终确定输出内容前：
- 网站：在多台设备上测试，验证所有链接可用，检查图表质量
- 海报：打印测试页，验证3-6英尺外的文本可读性，检查颜色
- 视频：完整观看视频，验证音频同步，在不同设备上测试
Resource Requirements
资源要求
Processing Time
处理时间
- Website: 15-30 minutes per paper
- Poster: 10-20 minutes per paper
- Video (no talking-head): 20-60 minutes per paper
- Video (with talking-head): 60-120 minutes per paper
- 网站：每篇论文15-30分钟
- 海报：每篇论文10-20分钟
- 视频（无虚拟发言人）：每篇论文20-60分钟
- 视频（含虚拟发言人）：每篇论文60-120分钟
Computational Requirements
计算资源要求
- CPU: Multi-core processor for parallel processing
- RAM: 16GB minimum, 32GB recommended for large papers
- GPU: Optional for standard outputs, required for talking-head (NVIDIA A6000 48GB)
- Storage: 1-5GB per paper depending on components and quality settings
- CPU：多核处理器以支持并行处理
- RAM：最低16GB，处理大型论文推荐32GB
- GPU：标准输出可选，虚拟发言人视频必需（NVIDIA A6000 48GB）
- 存储：每篇论文1-5GB，取决于组件和质量设置
API Costs (Approximate)
API成本（估算）
- Website: $0.50-2.00 per paper (GPT-4)
- Poster: $0.30-1.00 per paper (GPT-4)
- Video: $1.00-3.00 per paper (GPT-4)
- Complete package: $2.00-6.00 per paper (GPT-4)
- 网站：每篇论文0.50-2.00美元（使用GPT-4）
- 海报：每篇论文0.30-1.00美元（使用GPT-4）
- 视频：每篇论文1.00-3.00美元（使用GPT-4）
- 完整套装：每篇论文2.00-6.00美元（使用GPT-4）
Troubleshooting
故障排除
Common Issues
常见问题
LaTeX parsing errors:
- Ensure LaTeX source compiles successfully:
pdflatex main.tex - Check all referenced files are present
- Verify no custom packages prevent parsing
Poor figure quality:
- Use vector formats (PDF, SVG, EPS) instead of rasters
- Ensure raster images are 300+ DPI
- Check figures render correctly in compiled PDF
Video generation failures:
- Verify sufficient disk space (5GB+ recommended)
- Check all dependencies installed (LibreOffice, Poppler)
- Review error logs in output directory
Poster layout issues:
- Verify poster dimensions are reasonable (24"-72" range)
- Check content length (very long papers may need manual curation)
- Ensure figures have appropriate resolution for poster size
API errors:
- Verify API keys in file
.env - Check API credit balance
- Ensure no rate limiting (wait and retry)
LaTeX解析错误：
- 确保LaTeX源文件可成功编译：
pdflatex main.tex - 检查所有引用文件均存在
- 验证无自定义包阻碍解析
图表质量不佳：
- 使用矢量格式（PDF、SVG、EPS）而非光栅图
- 确保光栅图像分辨率为300+ DPI
- 检查图表在编译后的PDF中渲染正常
视频生成失败：
- 验证磁盘空间充足（推荐5GB+）
- 检查所有依赖已安装（LibreOffice、Poppler）
- 查看输出目录中的错误日志
海报布局问题：
- 验证海报尺寸合理（24"-72"范围）
- 检查内容长度（极长论文可能需要手动整理）
- 确保图表分辨率适配海报尺寸
API错误：
- 验证文件中的API密钥
.env - 检查API信用余额
- 确保无速率限制（等待后重试）
Platform-Specific Features
平台特定功能
Social Media Optimization
社交媒体优化
The system auto-detects target platforms:
Twitter/X (English, numeric folder names):
bash
mkdir -p input/001_twitter/系统会自动检测目标平台：
Twitter/X（英文，数字文件夹名称）：
bash
mkdir -p input/001_twitter/Generates English promotional content
生成英文推广内容
**Xiaohongshu/小红书** (Chinese, alphanumeric folder names):
```bash
mkdir -p input/xhs_paper/
**小红书**（中文，字母数字混合文件夹名称）：
```bash
mkdir -p input/xhs_paper/Generates Chinese promotional content
生成中文推广内容
undefinedundefinedConference-Specific Formatting
会议特定格式设置
Specify conference requirements:
- Standard poster sizes (4'×3', 5'×4', A0, A1)
- Video abstract length limits (typically 3-5 minutes)
- Institution branding requirements
- Color scheme preferences
指定会议要求：
- 标准海报尺寸（4'×3'、5'×4'、A0、A1）
- 视频摘要时长限制（通常3-5分钟）
- 机构品牌要求
- 配色方案偏好
Integration and Deployment
集成与部署
Website Deployment
网站部署
Deploy generated websites to:
- GitHub Pages: Free hosting with custom domain
- Academic hosting: University web servers
- Personal servers: AWS, DigitalOcean, etc.
- Netlify/Vercel: Modern hosting with CI/CD
将生成的网站部署至：
- GitHub Pages：免费托管，支持自定义域名
- 学术托管平台：大学Web服务器
- 个人服务器：AWS、DigitalOcean等
- Netlify/Vercel：现代托管平台，支持CI/CD
Poster Printing
海报打印
Print-ready files work with:
- Professional poster printing services
- University print shops
- Online services (e.g., Spoonflower, VistaPrint)
- Large format printers (if available)
可打印文件适用于：
- 专业海报打印服务
- 大学打印店
- 在线服务（如Spoonflower、VistaPrint）
- 大幅面打印机（如有）
Video Distribution
视频分发
Share videos on:
- YouTube: Public or unlisted for maximum reach
- Institutional repositories: University video platforms
- Conference platforms: Virtual conference systems
- Social media: Twitter, LinkedIn, ResearchGate
在以下平台分享视频：
- YouTube：公开或未公开以扩大覆盖范围
- 机构知识库：大学视频平台
- 会议平台：虚拟会议系统
- 社交媒体：Twitter、LinkedIn、ResearchGate
Advanced Usage
高级用法
Batch Processing
批量处理
Process multiple papers efficiently:
bash
undefined高效处理多篇论文：
bash
undefinedOrganize papers in batch directory
将论文组织在批量目录中
for paper in paper1 paper2 paper3; do
python pipeline_all.py
--input-dir input/$paper
--output-dir output/$paper
--model-choice 1 & done wait
--input-dir input/$paper
--output-dir output/$paper
--model-choice 1 & done wait
undefinedfor paper in paper1 paper2 paper3; do
python pipeline_all.py \
--input-dir input/$paper \
--output-dir output/$paper \
--model-choice 1 &
done
wait
undefinedCustom Branding
自定义品牌
Apply institution or lab branding:
- Provide logo files in paper directory
- Specify color schemes in configuration
- Use custom templates (advanced)
- Match conference theme requirements
应用机构或实验室品牌：
- 在论文目录中提供标识文件
- 在配置中指定配色方案
- 使用自定义模板（高级功能）
- 匹配会议主题要求
Multi-Language Support
多语言支持
Generate content in different languages:
- Specify target language in configuration
- System translates content appropriately
- Selects appropriate voice for video narration
- Adapts design conventions to culture
生成不同语言的内容：
- 在配置中指定目标语言
- 系统会相应翻译内容
- 为视频旁白选择合适的语音
- 适配文化习惯调整设计规范
References and Resources
参考资料
This skill includes comprehensive reference documentation:
- : Complete installation and configuration guide
references/installation.md - : Detailed Paper2Web documentation with all features
references/paper2web.md - : Comprehensive Paper2Video guide including talking-head setup
references/paper2video.md - : Complete Paper2Poster documentation with design templates
references/paper2poster.md - : Real-world examples and workflow patterns
references/usage_examples.md
External Resources:
- GitHub Repository: https://github.com/YuhangChen1/Paper2All
- Curated Dataset: Available on Hugging Face (13 research categories)
- Benchmark Suite: Reference websites and evaluation metrics
该Skill包含全面的参考文档：
- ：完整的安装和配置指南
references/installation.md - ：Paper2Web详细文档，含所有功能说明
references/paper2web.md - ：Paper2Video综合指南，含虚拟发言人设置
references/paper2video.md - ：Paper2Poster完整文档，含设计模板
references/paper2poster.md - ：真实世界示例和工作流模式
references/usage_examples.md
外部资源：
- GitHub仓库：https://github.com/YuhangChen1/Paper2All
- 精选数据集：可在Hugging Face获取（13个研究类别）
- 基准测试套件：参考网站和评估指标
Evaluation and Quality Metrics
评估与质量指标
The Paper2All system includes built-in quality assessment:
Paper2All系统内置质量评估功能：
Content Quality
内容质量
- Completeness: Coverage of paper content
- Accuracy: Faithful representation of findings
- Clarity: Accessibility and understandability
- Informativeness: Key information prominence
- 完整性：论文内容的覆盖范围
- 准确性：研究发现的忠实呈现
- 清晰度：内容的易获取性和易懂性
- 信息量：关键信息的突出程度
Design Quality
设计质量
- Aesthetics: Visual appeal and professionalism
- Layout: Balance, hierarchy, and organization
- Readability: Text legibility and figure clarity
- Consistency: Uniform styling and branding
- 美观性：视觉吸引力和专业性
- 布局：平衡、层级和组织性
- 可读性：文本易读性和图表清晰度
- 一致性：统一的样式和品牌
Technical Quality
技术质量
- Performance: Load times, responsiveness
- Compatibility: Cross-browser, cross-device support
- Accessibility: WCAG compliance, screen reader support
- Standards: Valid HTML/CSS, print-ready PDFs
All outputs undergo automated quality checks before generation completes.
- 性能：加载速度、响应性
- 兼容性：跨浏览器、跨设备支持
- 可访问性：符合WCAG标准、支持屏幕阅读器
- 规范性：有效的HTML/CSS、可打印PDF
所有输出内容在生成完成前都会经过自动质量检查。",