Research map / 3D vision / Face and shape
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use 2D-3D semantic consistency loss (ablation) | LASSIE · Pascal-Part Horse | overall IOU: 65.3 -> 81.9 | Helped |
| use 2D-3D semantic consistency loss (ablation) | LASSIE · Pascal-Part Cow | part transfer PCP: 60.3 -> 77.0 | Helped |
| use 2D-3D semantic consistency loss (ablation) | LASSIE · Pascal-Part Sheep | PCK@0.1: 55.3 -> 70.8 | Helped |
| use primitive-shape prior MLP (ablation) | LASSIE · Pascal-Part Horse | overall IOU: 81.0 -> 81.9 | Helped |
| use primitive-shape prior MLP (ablation) | LASSIE · Pascal-Part Cow | part IOU: 33.7 -> 35.1 | Helped |
| use primitive-shape prior MLP (ablation) | LASSIE · Pascal-Part Sheep | PCK@0.1: 68.9 -> 70.8 | Helped |
| initialize 3D feature assignment with heuristics instead of manual part-to-cluster mapping | LASSIE · Pascal-Part Horse | PCK@0.1: 73.0 -> 72.1 | Hurt |
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- BEAST3D: animal behavioral analysis and neural encoding from multi-view video via Gaussian splatting (NeurIPS 2026 · similarity 0.87)
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