## Image Comparison: Hierarchical-3DGS vs. FLOD-3DGS ### Overview The image presents a comparison of two 3D Gaussian Splatting (3DGS) methods: Hierarchical-3DGS and FLOD-3DGS. It showcases rendered images of a garden scene with a round wooden table at varying levels of detail or time steps (τ). The comparison focuses on memory usage, percentage of maximum memory used, and Peak Signal-to-Noise Ratio (PSNR) as metrics. ### Components/Axes * **Rows:** The image is divided into two rows, representing the two methods being compared: * Top Row: Hierarchical-3DGS * Bottom Row: FLOD-3DGS * **Columns:** Each row contains four images, representing different detail levels or time steps (τ). * Column 1: τ = 120 (Hierarchical-3DGS), level{3,2,1} (FLOD-3DGS) * Column 2: τ = 30 (Hierarchical-3DGS), level{4,3,2} (FLOD-3DGS) * Column 3: τ = 15 (Hierarchical-3DGS), level{5,4,3} (FLOD-3DGS) * Column 4: τ = 0 (Max) (Hierarchical-3DGS), level5 (Max) (FLOD-3DGS) * **Metrics:** Each image is accompanied by the following metrics: * Memory Usage (in GB) * Percentage of Maximum Memory Used (in %) * PSNR (Peak Signal-to-Noise Ratio) ### Detailed Analysis or ### Content Details **Hierarchical-3DGS (Top Row):** * **τ = 120:** * Image Quality: Blurry, low detail. * Memory: 3.53GB * Memory Percentage: 79% * PSNR: 20.98 * **τ = 30:** * Image Quality: Improved clarity compared to τ = 120. * Memory: 3.72GB * Memory Percentage: 83% * PSNR: 23.47 * **τ = 15:** * Image Quality: Further improved clarity. * Memory: 4.19GB * Memory Percentage: 93% * PSNR: 24.71 * **τ = 0 (Max):** * Image Quality: Highest clarity and detail. * Memory: 4.46GB * Memory Percentage: 100% * PSNR: 26.03 **FLOD-3DGS (Bottom Row):** * **level{3,2,1}:** * Image Quality: Clearer than Hierarchical-3DGS at τ = 120. * Memory: 0.73GB * Memory Percentage: 29% (displayed in red) * PSNR: 24.02 * **level{4,3,2}:** * Image Quality: Improved clarity compared to level{3,2,1}. * Memory: 1.29GB * Memory Percentage: 52% * PSNR: 26.23 * **level{5,4,3}:** * Image Quality: Further improved clarity. * Memory: 1.40GB * Memory Percentage: 57% (displayed in red) * PSNR: 26.71 * **level5 (Max):** * Image Quality: Highest clarity and detail. * Memory: 2.45GB * Memory Percentage: 100% * PSNR: 27.64 ### Key Observations * **Image Quality:** As τ decreases (Hierarchical-3DGS) or the level increases (FLOD-3DGS), the image quality improves, indicated by higher PSNR values and visually clearer images. * **Memory Usage:** For Hierarchical-3DGS, memory usage increases as τ decreases. For FLOD-3DGS, memory usage increases as the level increases. * **Memory Percentage:** The percentage of maximum memory used increases with image quality for both methods. The memory percentages for FLOD-3DGS at levels {3,2,1} and {5,4,3} are highlighted in red, possibly indicating lower memory usage compared to Hierarchical-3DGS at similar PSNR levels. * **PSNR:** FLOD-3DGS achieves higher PSNR values with lower memory usage compared to Hierarchical-3DGS, especially at lower detail levels. ### Interpretation The data suggests that FLOD-3DGS is more memory-efficient than Hierarchical-3DGS while achieving comparable or even better image quality (PSNR). This is evident from the lower memory usage and higher PSNR values of FLOD-3DGS at similar detail levels. The red highlighting of memory percentages for FLOD-3DGS further emphasizes its memory efficiency. The image demonstrates the trade-off between image quality, memory usage, and detail level for both methods. FLOD-3DGS appears to be a more optimized approach for rendering 3D scenes, offering a better balance between image quality and memory consumption.