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Research map / Point clouds / Shape and surface completion

AnchorFormer: Point Cloud Completion From Discriminative Nodes

CVPR 2023 · Point clouds › Shape and surface completion · approach: Structure-guided completion · 83 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
replace a global feature with discriminative anchors (ablation)AnchorFormer point cloud completion · PCNCDL1: 7.33 -> 6.81Helped
replace folding with Style-based Folding (ablation)Anchor-based completion model · PCNCDL1: 6.81 -> 6.77Helped
use point morphing instead of Style-based Folding (ablation)Anchor-based completion model · PCNCDL1: 6.77 -> 6.68Helped
add the compactness constraint Lcpa (ablation)AnchorFormer · PCNCDL1: 6.68 -> 6.59Helped
use anchors and point morphing with compactness regularizationpoint cloud completion · PCNCDL1: 6.74 -> 6.59Helped
use AnchorFormer rather than SeedFormerpoint cloud completion · ShapeNet-55CDL2: 0.92 -> 0.76Helped
use AnchorFormer rather than SeedFormerpoint cloud completion · ShapeNet-55F1: 0.472 -> 0.558Helped
use AnchorFormer rather than SeedFormerpoint cloud completion · ShapeNet-34 seen categoriesF1: 0.452 -> 0.564Helped
use AnchorFormer rather than SeedFormerpoint cloud completion · ShapeNet-34 unseen categoriesF1: 0.402 -> 0.535Helped
use AnchorFormer rather than PoinTrpoint cloud completion · KITTIMMD: 0.526 -> 0.458Helped

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