Research map / 3D vision / Face and shape
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use latent diffusion over compressed SDFs instead of AutoSDF | Shape completion on ShapeNet · ShapeNet | TMD: 0.0341 -> 0.0885 | Helped |
| Use latent diffusion over compressed SDFs instead of AutoSDF | Shape completion on BuildingNet · BuildingNet | TMD: 0.0649 -> 0.0745 | Helped |
| Use latent diffusion over compressed SDFs instead of AutoSDF | Shape completion on ShapeNet · ShapeNet | UHD: 0.0567 -> 0.0557 | Helped |
| Use latent diffusion over compressed SDFs instead of AutoSDF | Shape completion on BuildingNet · BuildingNet | UHD: 0.1208 -> 0.1116 | Helped |
| Use latent diffusion over compressed SDFs instead of AutoSDF | Single-view 3D reconstruction · Pix3D | CD: 2.267 -> 1.852 | Helped |
| Use latent diffusion over compressed SDFs instead of AutoSDF | Single-view 3D reconstruction · Pix3D | F-Score@1%: 0.415 -> 0.432 | Helped |
| Use latent diffusion over compressed SDFs instead of AutoSDF | Text-guided 3D generation · ShapeGlot | Target preference rate: 30% -> 33% | Helped |
Closest papers by meaning
- Make-A-Shape: a Ten-Million-scale 3D Shape Model (ICML 2024 · similarity 0.87)
- Structured 3D Latents for Scalable and Versatile 3D Generation (CVPR 2025 · similarity 0.87)
- Interactive3D: Create What You Want by Interactive 3D Generation (CVPR 2024 · similarity 0.86)
- PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers (NeurIPS 2025 · similarity 0.86)
- Mosaic-SDF for 3D Generative Models (CVPR 2024 · similarity 0.86)
- ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models (CVPR 2024 · similarity 0.86)
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