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Research map / 3D vision / Face and shape

3D Shape Attributes

CVPR 2016 · 3D vision › Face and shape · approach: Primitive-based shape abstraction · 24 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
infer shape attributes directly from the image rather than estimating depth then deriving attributes3D shape attribute prediction · Sculpture Images Testmean AUC: 62.5 -> 72.3Helped
replace VGG-M with VGG-16 (ablation)Proposed attribute predictor · Sculpture Images Testmean AUC: 72.3 -> 74.4Helped
train only for attributes, removing the shape embedding loss (ablation)Sculpture shape representation · Mental rotation — AllAUC: 92.3 -> 89.8Hurt
train only for attributes, removing the shape embedding loss (ablation)Sculpture shape representation · Mental rotation — HardAUC: 86.9 -> 82.5Hurt
use the attribute-only network instead of the pretrained representation (ablation)Sculpture shape representation · Mental rotation — AllAUC: 88.9 -> 89.8Helped
use the attribute-only network instead of the pretrained representation (ablation)Sculpture shape representation · Mental rotation — HardAUC: 80.0 -> 82.5Helped
train a full network with both attribute and embedding objectives instead of using pretrained FC7Sculpture shape representation · Mental rotation — AllAUC: 88.9 -> 92.3Helped
train a full network with both attribute and embedding objectives instead of using pretrained FC7Sculpture shape representation · Mental rotation — HardAUC: 80.0 -> 86.9Helped

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