Research map / Point clouds / Shape and surface completion
EditVAE: Unsupervised Parts-Aware Controllable 3D Point Cloud Shape Generation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add linear mapping A to the disentangled part latents (ablation) | EditVAE · ShapeNet Chair (M=7) | MMD-CD, whole shape: 0.0029 -> 0.0014 | Helped |
| Add linear mapping A to the disentangled part latents (ablation) | EditVAE · ShapeNet Chair (M=3) | MMD-CD, whole shape: 0.0025 -> 0.0017 | Helped |
| Add linear mapping A to the disentangled part latents (ablation) | EditVAE · ShapeNet Airplane (M=6) | MMD-CD, whole shape: 0.0007 -> 0.0004 | Helped |
| Add linear mapping A to the disentangled part latents (ablation) | EditVAE · ShapeNet Airplane (M=3) | MMD-CD, whole shape: 0.0006 -> 0.0005 | Helped |
| Add linear mapping A to the disentangled part latents (ablation) | EditVAE · ShapeNet Table (M=5) | MMD-CD, whole shape: 0.0042 -> 0.0016 | Helped |
| Add linear mapping A to the disentangled part latents (ablation) | EditVAE · ShapeNet Table (M=3) | MMD-CD, whole shape: 0.0035 -> 0.0017 | Helped |
Closest papers by meaning
- Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection (AAAI 2024 · similarity 0.91)
- S$^2$AM3D: Scale-controllable Part Segmentation of 3D Point Clouds (CVPR 2026 · similarity 0.90)
- Rectified Point Flow: Generic Point Cloud Pose Estimation (NeurIPS 2025 · similarity 0.87)
- GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model (ICML 2025 · similarity 0.87)
- Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding (AAAI 2024 · similarity 0.87)
- LPCG: A Self-conditional Architecture for Labeled Point Cloud Generation (AAAI 2025 · similarity 0.87)
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