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Research map / Point clouds / Shape and surface completion

Pointersect: Neural Rendering With Cloud-Ray Intersection

CVPR 2023 · Point clouds › Shape and surface completion · approach: Point cloud upsampling and normals · 22 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use Pointersect instead of Poisson reconstructionPoint-cloud rendering · tex-modelsnormal angle: 8.48 ± 3.97 -> 6.77 ± 2.71Helped
Use Pointersect instead of Poisson reconstructionPoint-cloud rendering · tex-modelsPSNR: 25.7 ± 2.4 -> 28.2 ± 1.9Helped
Use Pointersect instead of Poisson reconstructionPoint-cloud rendering · ShapeNetnormal angle: 16.89 ± 7.96 -> 11.29 ± 5.08Helped
Use Pointersect instead of Poisson reconstructionPoint-cloud rendering · ShapeNetdepth RMSE: 0.03 ± 0.05 -> 0.03 ± 0.03No clear effect
Use Pointersect instead of Poisson reconstructionPoint-cloud rendering · SketchfabPSNR: 25.0 ± 3.1 -> 28.1 ± 2.7Helped
Use Pointersect instead of Visibility splattingPoint-cloud rendering · Sketchfabnormal angle: 14.04 ± 4.73 -> 8.53 ± 2.79Helped
Use Pointersect instead of NGPRoom-scale point-cloud rendering · HypersimPSNR: 28.5 ± 5.8 -> 29.8 ± 5.1Helped
Use Pointersect instead of NGPRoom-scale point-cloud rendering · HypersimLPIPS: 0.31 ± 0.08 -> 0.25 ± 0.04Helped
Optimize the noisy point cloud's xyz and rgb through differentiable renderingPointersect inverse rendering · 100 input viewsPSNR: 10.1 ± 0.5 -> 24.6 ± 0.5Helped
Optimize the noisy point cloud's xyz and rgb through differentiable renderingPointersect inverse rendering · 144 novel viewsPSNR: 13.9 ± 0.8 -> 25.7 ± 1.2Helped
Optimize the noisy point cloud's xyz and rgb through differentiable renderingPointersect inverse rendering · 144 novel viewsnormal angle: 55.3 ± 0.4 -> 18.3 ± 2.7Helped

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