A car can be cut out cleanly and still look pasted on.
The outline is right. The tires touch the ground. The mirrors have no halo. The giveaway is light: the vehicle still carries the room where it was photographed.
That is the image-compositing problem after segmentation. Once the boundary is good, the remaining lie is lighting. The reusable rule is simple: separate factual detail from derived shading, apply a bounded low-frequency gain, then reject the frame if protected detail moves beyond tolerance.
In the AutoLensAI automotive image pipeline, the recent relighting work follows four threads: per-pixel roughness from the material stage, numerical fixes in the Trowbridge-Reitz GGX specular term, a corrected glass reflectance estimator, and a physically based relight path inside the compositor.
1. The matte pipeline fixed edges, not illumination
