Domain: Engineering — Computer Science
Target concept: Comparison of Gaussian Blur and Bilateral Filtering on Noisy Images

Video generation prompt: Colorful noise images with split-screen: the left side shows Gaussian blur with a blue border, and the right side shows bilateral filtering with a green border. Both become increasingly smooth as the filter strength increases.

Evaluation guide:
(i) Target concept: Visual differentiation of spatial-domain smoothing behaviors under identical noisy input.
Minimum mechanism: Input image must contain high-frequency noise and distinct chromatic boundaries; Gaussian kernel must lack range component; bilateral kernel must include both spatial and range terms; borders must be algorithm-anchored (blue→Gaussian, green→bilateral).
(ii)Storyline: Frame 1: Identical noisy colorful image appears on both left (blue border) and right (green border). Frames 2–9: Smoothness increases synchronously on both sides, with left losing edge definition uniformly and right maintaining boundary integrity. Final frame: Maximum smoothness achieved: left shows homogenized patches, right retains crisp contours at color junctions. Viewpoint is static frontal orthographic; no camera motion; no occlusion; split-line is vertical and invariant.

Manual:
Experimental Procedure
1. Display identical colorful noisy image on left and right halves of screen.
2. Apply Gaussian blur progressively to left side (blue border).
3. Apply bilateral filtering progressively to right side (green border).
Observation of Experimental Phenomena
- Left side becomes uniformly smoother; edges fade evenly; color bleeding occurs across boundaries.
- Right side becomes smoother overall but retains sharp color transitions and object edges.
- Blue border remains only on left; green border remains only on right.
Summary of Experimental Principles
Gaussian blur uses spatially uniform weights, causing isotropic smoothing and edge degradation. Bilateral filtering adds range-based weighting, preserving edges by suppressing smoothing across intensity/color discontinuities.

Prompt Grounding rubric:
level_1: No split-screen is shown; there is no blue-bordered left panel or green-bordered right panel; no noisy input image appears on either side; and there is no visible progression toward smoother imagery over time.
level_2: A split-screen appears, but the border colors are missing, swapped, or wrong (e.g., both panels share one border color, or the colors are red/yellow instead of blue/green); the starting noisy image is not clearly the same on both sides; or any smoothing progression is not traceable across the frames shown.
level_3: The screen is split into a left panel with a blue border and a right panel with a green border, positioned side by side and fixed in place; both panels start from the same noisy colorful image; both panels visibly grow smoother together as the video progresses.
level_4: Everything in score 3 holds AND the blue border stays only on the left panel and the green border stays only on the right panel for the entire video; the starting noisy image looks identical on both sides at the very first frame; and the smoothness increase on both sides is continuous and never reverses, freezes, or jumps in level.
level_5: Everything in score 4 holds AND the vertical dividing line between the two panels stays centered and straight throughout, both panels stay equal in width the whole time, and neither panel's image content ever bleeds across the dividing line into the other panel.

Scientific and Causal Correctness rubric:
level_1: There is no meaningful visual difference between the two algorithms: both panels blur in the same way regardless of their border color, the borders are missing or swapped, and there is no visible link between filter strength and how smooth the image looks.
level_2: The border colors are swapped (blue ends up on the right, green on the left), only one panel actually gets smoother while the other stays static, or both panels blur identically no matter which border they carry, so no real difference in edge handling is visible.
level_3: The blue-bordered panel loses its fine detail evenly all over, becoming uniformly blurry; the green-bordered panel also gets smoother overall but keeps its object edges and color boundaries recognizable; by the middle-to-late frames this gap in sharpness between the two panels is clearly visible.
level_4: Everything in score 3 holds AND the edge-holding on the green panel looks the same regardless of color (no channel is blurred more than another), the blue panel's blur looks even and directionless (no streaking or bias to one side), and at no point does the bilateral (green) panel look smoother than the Gaussian (blue) panel at a matching strength level.
level_5: Everything in score 4 holds AND at every strength level shown, the green-bordered panel keeps color boundaries and object outlines that are already fully smoothed away on the blue-bordered panel at that same point in the video; no frame ever shows the basic rule reversed (that plain Gaussian blur wipes out edges while bilateral filtering smooths flat areas but protects them).

Spatiotemporal Consistency rubric:
level_1: The border colors vanish or jump from one panel to the other, a panel swaps sides, the noisy image flickers on and off, the video jumps straight from noisy to fully smooth with no gradual change in between, or the border outlines blink on and off unpredictably.
level_2: The border colors shift mid-video (e.g., the blue border briefly turns a different color and back), one panel's smoothing progress freezes while the other keeps changing, the vertical dividing line visibly bends or wobbles, or the smoothing progress on either side reverses, pauses, or skips partway through.
level_3: The split-screen stays fixed in the frame, both borders stay in their assigned position and color, both panels grow smoother over time without ever reversing, and neither panel freezes, flickers, or drops a frame.
level_4: Everything in score 3 holds AND the vertical dividing line stays straight and unbroken from top to bottom, the two panels stay aligned side by side with no gap or overlap between them, the lighting looks the same across both panels throughout, and no color or texture from one panel spills across the line into the other.
level_5: Everything in score 4 holds AND the smoothing motion on both sides looks fluid frame to frame with no sudden jumps or stutters, the dividing line stays straight and in the same place for the entire video with no visible drift or wobble, the noise texture and edges do not shimmer or strobe as the smoothing changes, and both panels appear to sit at the same visual depth with neither looking closer to the camera than the other.