A controlled LiDAR scene completion study finds that fixed-depth iterative refinement beats a parameter-matched wide model only for coherent missing regions, while training augmentation dominates for scattered thinning.
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Iterate or Widen? When Test-Time Refinement Helps LiDAR Scene Completion: A Controlled Study of Evidence Geometry, Training Coverage, and Compute
A controlled LiDAR scene completion study finds that fixed-depth iterative refinement beats a parameter-matched wide model only for coherent missing regions, while training augmentation dominates for scattered thinning.