change to english version, update some new features

.env.example

@@ -1,4 +1,4 @@
-# GitHub Personal Access Token
-# 获取方式：https://github.com/settings/tokens
-# 需要的权限：public_repo
+# GitHub Personal Access Token
+# 获取方式：https://github.com/settings/tokens
+# 需要的权限：public_repo
 GITHUB_TOKEN=your_github_token_here 

.github/workflows/update-papers.yml

@@ -1,47 +1,47 @@
-name: Update Papers
-
-on:
-  schedule:
-    - cron: '0 0 * * *'  # 每天 UTC 0:00 运行
-  workflow_dispatch:  # 允许手动触发
-
-jobs:
-  update:
-    runs-on: ubuntu-latest
-
-    steps:
-    - name: 检出代码
-      uses: actions/checkout@v3
-
-    - name: 设置Python
-      uses: actions/setup-python@v4
-      with:
-        python-version: '3.9'
-
-    - name: 安装依赖
-      run: |
-        python3 -m pip install --upgrade pip
-        pip3 install -r requirements.txt
-        
-    - name: 运行爬虫
-      env:
-        GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-      run: |
-        python3 scripts/arxiv_crawler.py
-        
-    - name: 更新README
-      run: |
-        python3 scripts/readme_generator.py
-        
-    - name: 提交更改
-      run: |
-        git config --local user.email "github-actions[bot]@users.noreply.github.com"
-        git config --local user.name "github-actions[bot]"
-        git add data/ README.md
-        git commit -m "自动更新: $(date +'%Y-%m-%d')" || exit 0
-        
-    - name: 推送更改
-      uses: ad-m/github-push-action@master
-      with:
-        github_token: ${{ secrets.GITHUB_TOKEN }}
+name: Update Papers
+
+on:
+  schedule:
+    - cron: '0 0 * * *'  # 每天 UTC 0:00 运行
+  workflow_dispatch:  # 允许手动触发
+
+jobs:
+  update:
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: 检出代码
+      uses: actions/checkout@v3
+
+    - name: 设置Python
+      uses: actions/setup-python@v4
+      with:
+        python-version: '3.9'
+
+    - name: 安装依赖
+      run: |
+        python3 -m pip install --upgrade pip
+        pip3 install -r requirements.txt
+        
+    - name: 运行爬虫
+      env:
+        GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+      run: |
+        python3 scripts/arxiv_crawler.py
+        
+    - name: 更新README
+      run: |
+        python3 scripts/readme_generator.py
+        
+    - name: 提交更改
+      run: |
+        git config --local user.email "github-actions[bot]@users.noreply.github.com"
+        git config --local user.name "github-actions[bot]"
+        git add data/ README.md
+        git commit -m "自动更新: $(date +'%Y-%m-%d')" || exit 0
+        
+    - name: 推送更改
+      uses: ad-m/github-push-action@master
+      with:
+        github_token: ${{ secrets.GITHUB_TOKEN }}
         branch: ${{ github.ref }}

.gitignore

@@ -1,39 +1,39 @@
-# Python
-__pycache__/
-*.py[cod]
-*$py.class
-*.so
-.Python
-env/
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-
-# Logs
-logs/
-*.log
-
-# Environment variables
-.env
-
-# IDE
-.idea/
-.vscode/
-*.swp
-*.swo
-
-# OS
-.DS_Store
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# Logs
+logs/
+*.log
+
+# Environment variables
+.env
+
+# IDE
+.idea/
+.vscode/
+*.swp
+*.swo
+
+# OS
+.DS_Store
 Thumbs.db

README_template.md

@@ -1,39 +1,37 @@
-# Awesome Gaussian Splatting [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)
-
-这个仓库收集了与 Gaussian Splatting 相关的最新研究论文、项目和资源。内容每日自动更新。
-
-> 最后更新时间: {{LAST_UPDATE}}
-
-## 目录
-
-- [最新论文](#最新论文)
-- [经典论文](#经典论文)
-- [开源项目](#开源项目)
-- [应用](#应用)
-- [教程与博客](#教程与博客)
-
-{{LATEST_PAPERS}}
-
-## 经典论文
-- **[3D Gaussian Splatting for Real-Time Radiance Field Rendering](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/)** (SIGGRAPH 2023)  
-  作者: Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, George Drettakis  
-  代码: 🔗 [GitHub](https://github.com/graphdeco-inria/gaussian-splatting)  
-  关键词: Real-time Rendering, Neural Rendering, Point-based Graphics
-
-## 开源项目
-- [gaussian-splatting](https://github.com/graphdeco-inria/gaussian-splatting) - 原始的3D Gaussian Splatting实现
-- [taichi-3d-gaussian-splatting](https://github.com/wanmeihuali/taichi-3d-gaussian-splatting) - 使用Taichi实现的3D Gaussian Splatting
-
-## 应用
-- [3D Gaussian Splatting for Real-Time Radiance Field Rendering Demo](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/) - 在线演示
-
-## 教程与博客
-- [3D Gaussian Splatting介绍](https://github.com/graphdeco-inria/gaussian-splatting) - 官方教程
-
-## 贡献指南
-欢迎提交 Pull Request 来完善这个列表！请确保遵循以下格式：
-- 论文条目格式：`**[论文标题](链接)** - 简短描述`
-- 项目条目格式：`[项目名称](链接) - 项目描述`
-
-## 许可证
+# Awesome Gaussian Splatting [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)
+
+A curated list of latest research papers, projects and resources related to Gaussian Splatting. Content is automatically updated daily.
+
+> Last Update: {{LAST_UPDATE}}
+
+{{NAVIGATION}}
+
+{{TABLE_OF_CONTENTS}}
+
+{{LATEST_PAPERS}}
+
+{{CATEGORIZED_PAPERS}}
+
+## Classic Papers
+- **[3D Gaussian Splatting for Real-Time Radiance Field Rendering](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/)** (SIGGRAPH 2023)  
+  Authors: Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, George Drettakis  
+  Code: 🔗 [GitHub](https://github.com/graphdeco-inria/gaussian-splatting)  
+  Keywords: Real-time Rendering, Neural Rendering, Point-based Graphics
+
+## Open Source Projects
+- [gaussian-splatting](https://github.com/graphdeco-inria/gaussian-splatting) - Original implementation of 3D Gaussian Splatting
+- [taichi-3d-gaussian-splatting](https://github.com/wanmeihuali/taichi-3d-gaussian-splatting) - 3D Gaussian Splatting implemented in Taichi
+
+## Applications
+- [3D Gaussian Splatting for Real-Time Radiance Field Rendering Demo](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/) - Online Demo
+
+## Tutorials & Blogs
+- [Introduction to 3D Gaussian Splatting](https://github.com/graphdeco-inria/gaussian-splatting) - Official Tutorial
+
+## Contribution Guidelines
+Feel free to submit Pull Requests to improve this list! Please follow these formats:
+- Paper entry format: `**[Paper Title](link)** - Brief description`
+- Project entry format: `[Project Name](link) - Project description`
+
+## License
 [![CC0](https://licensebuttons.net/p/zero/1.0/88x31.png)](https://creativecommons.org/publicdomain/zero/1.0/) 

data/keywords.json

@@ -0,0 +1,67 @@
+{
+    "common_keywords": {
+        "description": "Common keywords that appear frequently across papers",
+        "keywords": [
+            "gaussian splatting",
+            "3d gaussian",
+            "neural rendering",
+            "real-time rendering",
+            "3d reconstruction",
+            "nerf"
+        ]
+    },
+    "categories": {
+        "3DGS Original": {
+            "keywords": ["original gaussian splatting"],
+            "description": "Original 3D Gaussian Splatting papers"
+        },
+        "3DGS Surveys": {
+            "keywords": ["survey"],
+            "description": "Survey papers and benchmarks about 3D Gaussian Splatting"
+        },
+        "Quality Enhancement": {
+            "keywords": ["quality enhancement", "high quality", "high-fidelity"],
+            "description": "Papers focusing on improving rendering quality"
+        },
+        "Acceleration": {
+            "keywords": ["real-time rendering", "acceleration", "fast", "efficient rendering"],
+            "description": "Papers about speeding up rendering or training"
+        },
+        "Geometry Reconstruction": {
+            "keywords": ["3d reconstruction", "geometry", "shape reconstruction"],
+            "description": "Papers about 3D geometry reconstruction"
+        },
+        "Dynamic Scene": {
+            "keywords": ["dynamic", "4d", "motion", "deformation", "animation"],
+            "description": "Papers about dynamic scene reconstruction and rendering"
+        },
+        "Few-shot": {
+            "keywords": ["few-shot", "sparse view", "sparse-view"],
+            "description": "Papers about few-shot or sparse view reconstruction"
+        },
+        "Large Scene": {
+            "keywords": ["large scene", "urban scene", "outdoor"],
+            "description": "Papers about large-scale scene reconstruction"
+        },
+        "Model Compression": {
+            "keywords": ["compression", "compact", "efficient", "lightweight"],
+            "description": "Papers about model compression and optimization"
+        },
+        "Avatar Generation": {
+            "keywords": ["avatar", "human", "face", "head", "body"],
+            "description": "Papers about human avatar generation"
+        },
+        "Scene Understanding": {
+            "keywords": ["semantic", "segmentation", "understanding", "recognition"],
+            "description": "Papers about scene understanding and semantic analysis"
+        },
+        "SLAM": {
+            "keywords": ["slam", "tracking", "mapping", "localization"],
+            "description": "Papers about SLAM using Gaussian Splatting"
+        },
+        "Applications": {
+            "keywords": ["medical", "robotics", "autonomous driving", "ar", "vr"],
+            "description": "Papers about specific applications"
+        }
+    }
+}