Research map / Point clouds / Shape and surface completion
Pointersect: Neural Rendering With Cloud-Ray Intersection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use Pointersect instead of Poisson reconstruction | Point-cloud rendering · tex-models | normal angle: 8.48 ± 3.97 -> 6.77 ± 2.71 | Helped |
| Use Pointersect instead of Poisson reconstruction | Point-cloud rendering · tex-models | PSNR: 25.7 ± 2.4 -> 28.2 ± 1.9 | Helped |
| Use Pointersect instead of Poisson reconstruction | Point-cloud rendering · ShapeNet | normal angle: 16.89 ± 7.96 -> 11.29 ± 5.08 | Helped |
| Use Pointersect instead of Poisson reconstruction | Point-cloud rendering · ShapeNet | depth RMSE: 0.03 ± 0.05 -> 0.03 ± 0.03 | No clear effect |
| Use Pointersect instead of Poisson reconstruction | Point-cloud rendering · Sketchfab | PSNR: 25.0 ± 3.1 -> 28.1 ± 2.7 | Helped |
| Use Pointersect instead of Visibility splatting | Point-cloud rendering · Sketchfab | normal angle: 14.04 ± 4.73 -> 8.53 ± 2.79 | Helped |
| Use Pointersect instead of NGP | Room-scale point-cloud rendering · Hypersim | PSNR: 28.5 ± 5.8 -> 29.8 ± 5.1 | Helped |
| Use Pointersect instead of NGP | Room-scale point-cloud rendering · Hypersim | LPIPS: 0.31 ± 0.08 -> 0.25 ± 0.04 | Helped |
| Optimize the noisy point cloud's xyz and rgb through differentiable rendering | Pointersect inverse rendering · 100 input views | PSNR: 10.1 ± 0.5 -> 24.6 ± 0.5 | Helped |
| Optimize the noisy point cloud's xyz and rgb through differentiable rendering | Pointersect inverse rendering · 144 novel views | PSNR: 13.9 ± 0.8 -> 25.7 ± 1.2 | Helped |
| Optimize the noisy point cloud's xyz and rgb through differentiable rendering | Pointersect inverse rendering · 144 novel views | normal angle: 55.3 ± 0.4 -> 18.3 ± 2.7 | Helped |
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- LiDAR-Net: A Real-scanned 3D Point Cloud Dataset for Indoor Scenes (CVPR 2024 · similarity 0.87)
- LinNet: Linear Network for Efficient Point Cloud Representation Learning (NeurIPS 2024 · similarity 0.86)
- ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors (ICLR 2025 · similarity 0.86)
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