Car-GS combines per-view Gaussians, a separate geometry opacity, and masked normal priors, achieving a mean Chamfer distance of 0.060 on a five-scene subset of 3DRealCar, down from 0.098 for the best prior method.
High-quality surface recon- struction using gaussian surfels
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Car-GS: Addressing Reflective and Transparent Surface Challenges in 3D Car Reconstruction
Car-GS combines per-view Gaussians, a separate geometry opacity, and masked normal priors, achieving a mean Chamfer distance of 0.060 on a five-scene subset of 3DRealCar, down from 0.098 for the best prior method.