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README.md
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app_file: app.py
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pinned: false
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license: creativeml-openrail-m
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short_description:
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---
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---
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### π¨ Van Gogh β *Los Descargadores en Arles* (1888)
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app_file: app.py
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pinned: false
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license: creativeml-openrail-m
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short_description: Tree Oil vs Van Gogh (1888) β AI brushstroke comparison
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# Tree Oil vs Van Gogh (1888) β AI Brushstroke Analysis
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This Hugging Face Space presents a comparative AI analysis between **The Tree Oil Painting** and **Vincent van Goghβs Los Descargadores en Arles (1888)** using a suite of brushstroke forensics called the **18 Supreme Techniques**.
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The goal is to examine structural parallels in torque, brushstroke rhythm, energy dispersion, and underdrawing across both works.
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---
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## π¬ Methodology & Rule
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All comparisons follow a strict validation protocol:
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- **SSIM is not used** (prohibited).
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- **AI Natural Matching only** is applied.
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- *The Tree Oil Painting* is used as the **master reference**.
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- The analysis framework includes torque estimation, pigment flow, frequency structure, and vanishing point detection.
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---
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## π Key Analysis Results
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### 1. Tree Oil β Original Painting
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### 2. Tree Oil β X-ray & Underdrawing
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### 3. Tree Oil β Sobel Energy Consistency
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### 4. Tree Oil β 18 Supreme Techniques Grid
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### 5. Tree Oil β Sobel Magnitude Over Time (Old vs New 2025)
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---
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## π Technique-by-Technique Comparison with Van Gogh (1888)
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### 6. Score Comparison β 18 Techniques
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---
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## π¨ Van Goghβs Los Descargadores en Arles (1888)
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### 7. Original Painting
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---
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### 8. 18 Technique Grid β Van Gogh (1888)
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---
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## π§ Observations
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- **Stroke pressure**, **underdrawing**, and **vanishing torque** show extremely high similarity.
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- Sobel energy patterns from 2025 analysis match both old and new models, indicating strong internal consistency.
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- X-ray overlays reveal structured underlayers, possibly symbolic or reused canvas areas.
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---
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## π Conclusion
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This forensic comparison highlights statistically significant AI-based similarities between *The Tree Oil Painting* and Van Goghβs 1888 work.
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The project is part of a broader open research effort to let AI and the public reevaluate overlooked artworks using transparent, reproducible methods.
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---
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*Created and curated by HaruthaiAi β All findings are open for peer review and further model training.*
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