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Research map / 3D vision / Depth and stereo

Pushing the Boundaries of View Extrapolation With Multiplane Images

CVPR 2019 · 3D vision › Depth and stereo · approach: Foundation models for monocular geometry · 348 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Increase disparity sampling frequency using a 3D CNN and randomized-resolution trainingMPI prediction · YouTube Real Estate 10K test tripletsSSIM_fov: 0.838 -> 0.858Helped
Add the flow-based hidden-content appearance constraint (ablation)Our MPI prediction pipeline · YouTube Real Estate 10K test tripletsSSIM_occ: 0.811 -> 0.814Helped
Add the flow-based hidden-content appearance constraint (ablation)Our MPI prediction pipeline · YouTube Real Estate 10K test tripletsNAT_occ: 0.904 -> 0.931Helped
Replace the flow-based appearance constraint with directly predicted RGBα planes and an adversarial lossOur r_init · YouTube Real Estate 10K test tripletsSSIM_occ: 0.811 -> 0.791Hurt
Replace the flow-based appearance constraint with directly predicted RGBα planes and an adversarial lossOur r_init · YouTube Real Estate 10K test tripletsNAT_occ: 0.805 -> 0.849Helped
Inpaint disoccluded pixels separately in each rendered imageOur final MPI renderings · YouTube Real Estate 10K test tripletsSSIM_occ: 0.814 -> 0.691Hurt
Inpaint disoccluded pixels separately in each rendered imageOur final MPI renderings · YouTube Real Estate 10K test tripletsNAT_occ: 0.931 -> 0.227Hurt

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