Quality Restoration of Point-Cloud-Derived 2D Projections: A Comparative Study of Void-Filling Techniques
Qualitative comparisons indicate that KNN produces the most visually realistic texture appearance, whereas diffusion-based filling is softened fine details, which establishes a practical baseline that enables both academic researchers and industrial practitioners to advance point-cloud-to-image restoration.