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Research map / 3D vision / Face and shape

Learning Part Generation and Assembly for Structure-Aware Shape Synthesis

AAAI 2020 · 3D vision › Face and shape · approach: 3D shape generative modeling · 58 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add reflective symmetry loss for symmetric parts (ablation)PAGENet part generators · Chair full shapesymmetry measure: 0.77 -> 0.85Helped
Add reflective symmetry loss for symmetric parts (ablation)PAGENet part generators · Airplane full shapesymmetry measure: 0.72 -> 0.80Helped
Indicate the anchor by marking its occupied voxels as -1 rather than using a one-hot vector (ablation)PAGENet part assembler · Chair part assemblyaverage IoU: 0.77 -> 0.83; 0.78 -> 0.81; 0.79 -> 0.82; 0.72 -> 0.79Helped
Use part-wise generation and assemblyPAGENet · Chair random generationinception score: 6.17 -> 6.55Helped
Use part-wise generation and assemblyPAGENet · Airplane random generationinception score: 5.89 -> 6.05Helped
Use part-wise generation and assemblyPAGENet · Motorbike random generationinception score: 5.52 -> 5.80Helped
Use part-wise generation and assemblyPAGENet · Lamp random generationinception score: 5.45 -> 5.59Helped
Learn a part assembly priorPAGENet · Chair part assemblyobjective assembly correctness rate: 81.8 -> 90.2Helped
Learn a part assembly priorPAGENet · Airplane part assemblyobjective assembly correctness rate: 83.7 -> 92.6Helped
Learn a part assembly priorPAGENet · Motorbike part assemblyobjective assembly correctness rate: 93.6 -> 97.0Helped
Learn a part assembly priorPAGENet · Lamp part assemblyobjective assembly correctness rate: 91.4 -> 96.8Helped
Use PAGENet's shape-manifold projection for segmentationPAGENet · Airplane segmentationsegmentation score: 85.5 -> 83.5Hurt

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