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Semantic Scene Completion via Integrating Instances and Scene In-the-Loop

CVPR 2021 · 3D vision › 3D generation · approach: Semantic scene completion · 60 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use SISNet with DeepLabv3 instead of SketchSemantic scene completion · NYUSSC-mIoU: 41.1 -> 52.4Helped
use SISNet with DeepLabv3 instead of SketchSemantic scene completion · NYUCADSSC-mIoU: 55.2 -> 63.5Helped
use SISNet with DeepLabv3 instead of SketchSemantic scene completion · SUNCG-RGBDSSC-mIoU: 55.6 -> 79.0Helped
add scene refinement S1 without instance completion (ablation)SISNet baseline S0 · NYUSSC-mIoU: 42.5 -> 44.9Helped
add scene refinement S1 without instance completion (ablation)SISNet baseline S0 · NYUCADSSC-mIoU: 53.6 -> 54.2Helped
add scene refinement S1 without instance completion (ablation)SISNet baseline S0 · SUNCG-RGBDSSC-mIoU: 73.0 -> 74.5Helped
add two scene-instance-scene iterations instead of one (ablation)SISNet · NYUSSC-mIoU: 47.7 -> 49.8Helped
add two scene-instance-scene iterations instead of one (ablation)SISNet · NYUCADSSC-mIoU: 58.0 -> 59.9Helped
add two scene-instance-scene iterations instead of one (ablation)SISNet · SUNCG-RGBDSSC-mIoU: 76.6 -> 78.8Helped
remove initial scene completion before instance completion (ablation)SISNet · NYUSSC: 47.7 -> 46.6Hurt
remove initial scene completion before instance completion (ablation)SISNet · NYUCADSSC: 58.0 -> 55.5Hurt
remove initial scene completion before instance completion (ablation)SISNet · SUNCG-RGBDSSC: 76.6 -> 75.8Hurt

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