## Line Charts: REVEAL-bench Performance
### Overview
The image contains two line charts comparing the performance of "Ours(REVEAL)" and "NPR(2024CVPR)" on the REVEAL-bench dataset. The left chart shows accuracy (Acc) vs. quality, while the right chart shows accuracy vs. sigma. A horizontal dashed line is present at Acc = 50 in both charts.
### Components/Axes
**Legend:** Located at the top of the image.
* Red line with circle markers: Ours(REVEAL)
* Blue line with triangle markers: NPR(2024CVPR)
**Left Chart:**
* Title: REVEAL-bench
* Y-axis: Acc (Accuracy), ranging from 50 to 100 in increments of 10.
* X-axis: quality, ranging from 60 to 100 in increments of 10.
**Right Chart:**
* Title: REVEAL-bench
* Y-axis: Acc (Accuracy), ranging from 50 to 100 in increments of 10.
* X-axis: sigma, ranging from 0 to 4 in increments of 1.
### Detailed Analysis
**Left Chart (Accuracy vs. Quality):**
* **Ours(REVEAL) (Red):** The accuracy decreases as quality decreases.
* Quality 100: Acc ~ 95
* Quality 90: Acc ~ 77
* Quality 80: Acc ~ 65
* Quality 70: Acc ~ 60
* Quality 60: Acc ~ 58
* **NPR(2024CVPR) (Blue):** The accuracy is relatively flat and low as quality decreases.
* Quality 100: Acc ~ 57
* Quality 90: Acc ~ 52
* Quality 80: Acc ~ 51
* Quality 70: Acc ~ 50
* Quality 60: Acc ~ 50
**Right Chart (Accuracy vs. Sigma):**
* **Ours(REVEAL) (Red):** The accuracy decreases as sigma increases, then flattens out.
* Sigma 0: Acc ~ 95
* Sigma 1: Acc ~ 81
* Sigma 2: Acc ~ 66
* Sigma 3: Acc ~ 60
* Sigma 4: Acc ~ 58
* **NPR(2024CVPR) (Blue):** The accuracy decreases as sigma increases, then flattens out.
* Sigma 0: Acc ~ 95
* Sigma 1: Acc ~ 81
* Sigma 2: Acc ~ 58
* Sigma 3: Acc ~ 55
* Sigma 4: Acc ~ 54
### Key Observations
* In both charts, "Ours(REVEAL)" consistently outperforms "NPR(2024CVPR)".
* The accuracy of "Ours(REVEAL)" is more sensitive to changes in quality and sigma than "NPR(2024CVPR)".
* "NPR(2024CVPR)" performance is close to the 50 accuracy baseline for lower quality values.
### Interpretation
The charts demonstrate that the "Ours(REVEAL)" method is more robust to variations in both quality and sigma compared to "NPR(2024CVPR)" on the REVEAL-bench dataset. The significant drop in accuracy for "Ours(REVEAL)" as quality decreases or sigma increases suggests that these parameters have a substantial impact on its performance, but it still maintains a higher accuracy than "NPR(2024CVPR)". The relatively flat performance of "NPR(2024CVPR)" indicates that it is less affected by these parameters, but its overall accuracy is lower. The horizontal line at 50 accuracy likely represents a baseline or threshold, suggesting that "NPR(2024CVPR)" approaches this baseline under certain conditions.