# Technical Document Extraction: REVEAL-bench Performance Analysis
## Chart Structure Overview
The image contains **two line charts** titled "REVEAL-bench", comparing two evaluation metrics across different parameters. Both charts share identical y-axis labels but differ in x-axis parameters.
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### Legend Analysis
- **Legend Position**: Top-left corner
- **Color-Coded Entries**:
- `Red Circle`: "Ours(REVEAL)"
- `Blue Triangle`: "NPR(2024CVPR)"
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### Chart 1: Accuracy vs Quality
**X-axis**: "quality" (100 → 60, decreasing)
**Y-axis**: "Acc" (Accuracy, 0–100)
#### Key Trends:
1. **Ours(REVEAL)** (Red):
- Starts at **95** when quality = 100
- Decreases linearly to **58** at quality = 60
- Slope: -0.37 per quality unit
2. **NPR(2024CVPR)** (Blue):
- Flat line at **58** (quality = 100) → **51** (quality = 60)
- Minimal variation (Δ = 7)
#### Data Points:
| Quality | Ours(REVEAL) | NPR(2024CVPR) |
|---------|--------------|---------------|
| 100 | 95 | 58 |
| 90 | 77 | 52 |
| 80 | 65 | 51 |
| 70 | 60 | 51 |
| 60 | 58 | 51 |
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### Chart 2: Accuracy vs Sigma
**X-axis**: "sigma" (0 → 4, increasing)
**Y-axis**: "Acc" (Accuracy, 0–100)
#### Key Trends:
1. **Ours(REVEAL)** (Red):
- Starts at **95** (sigma = 0)
- Drops sharply to **80** at sigma = 1
- Gradual decline to **58** at sigma = 4
- Total Δ = 37
2. **NPR(2024CVPR)** (Blue):
- Starts at **95** (sigma = 0)
- Drops to **80** at sigma = 1
- Steeper decline to **53** at sigma = 4
- Total Δ = 42
#### Data Points:
| Sigma | Ours(REVEAL) | NPR(2024CVPR) |
|-------|--------------|---------------|
| 0 | 95 | 95 |
| 1 | 80 | 80 |
| 2 | 65 | 58 |
| 3 | 60 | 55 |
| 4 | 58 | 53 |
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### Cross-Validation Checks
1. **Legend Consistency**:
- Red markers match "Ours(REVEAL)" in both charts
- Blue markers match "NPR(2024CVPR)" in both charts
2. **Trend Verification**:
- Red line in Chart 1 shows consistent decline (✓)
- Blue line in Chart 2 shows sharper decline than red (✓)
3. **Spatial Grounding**:
- Legend positioned at [x=0, y=0] relative to chart boundaries
- Axis labels anchored at chart edges
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### Observations
1. **Performance Degradation**:
- Both methods degrade with lower quality/sigma
- Ours(REVEAL) maintains higher accuracy across all quality levels
- NPR(2024CVPR) shows greater sensitivity to sigma changes
2. **Benchmark Context**:
- "REVEAL-bench" appears to evaluate robustness against quality degradation and noise (sigma)
- Threshold line at y=50 suggests performance floor
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### Limitations
- No explicit methodology details provided
- No statistical significance markers (e.g., p-values)
- No error bars for confidence intervals
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### Conclusion
The charts demonstrate that **Ours(REVEAL)** consistently outperforms **NPR(2024CVPR)** across both quality and sigma parameters, with more gradual degradation in performance. This suggests superior robustness in the proposed method under varying input conditions.
