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MonoScene: Monocular 3D Semantic Scene Completion

CVPR 2022 · 3D vision › 3D generation · approach: Semantic scene completion · 288 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use single-image RGB MonoScene instead of the strongest RGB-inferred baselineNYUv2 test · NYUv2 testmIoU: 22.91 -> 26.94Helped
Use single-image RGB MonoScene instead of the strongest RGB-inferred baselineSemanticKITTI hidden test · SemanticKITTI hidden testmIoU: 8.97 -> 11.08Helped
Add FLoSP in place of interpolated and convolved 2D features (ablation)MonoScene · NYUv2 testmIoU: 14.11 -> 26.94Helped
Add FLoSP in place of interpolated and convolved 2D features (ablation)MonoScene · SemanticKITTI validationIoU: 27.55 -> 37.12Helped
Add 3D CRP (ablation)MonoScene · NYUv2 testmIoU: 26.27 -> 26.94Helped
Add semantic Scene-Class Affinity Loss (ablation)MonoScene · NYUv2 testIoU: 42.82 -> 42.51Hurt
Add semantic Scene-Class Affinity Loss (ablation)MonoScene · SemanticKITTI validationIoU: +0.34Helped
Add geometry Scene-Class Affinity Loss (ablation)MonoScene · NYUv2 testIoU: +1.55Helped
Add geometry Scene-Class Affinity Loss (ablation)MonoScene · SemanticKITTI validationIoU: +2.20Helped
Add Frustum Proportion Loss (ablation)MonoScene · NYUv2 testmIoU: 26.37 -> 26.94Helped
Use more FLoSP scales, adding scales 4 and 8 to 1 and 2 (ablation)MonoScene · NYUv2 testmIoU: 25.66 -> 26.94Helped
Use four relations instead of two in 3D CRP (ablation)MonoScene · NYUv2 testmIoU: 26.63 -> 26.94Helped

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