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Probabilistic Plant Modeling via Multi-View Image-to-Image Translation

CVPR 2018 · 3D vision › 3D generation · approach: Learning 3D reconstruction from images · 40 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add Bayesian inference to image-to-image translation (ablation)Plant branch reconstruction · Simulated plants, 72 camerasGeometric error: 1.76 -> 1.69Helped
Add Bayesian inference to image-to-image translation (ablation)Plant branch reconstruction · Simulated plants, 36 camerasGeometric error: 2.26 -> 1.74Helped
Add Bayesian inference to image-to-image translation (ablation)Plant branch reconstruction · Simulated plants, 12 camerasGeometric error: 2.40 -> 2.14Helped
Add Bayesian inference to image-to-image translation (ablation)Plant branch reconstruction · Simulated plants, 6 camerasGeometric error: 14.95 -> 14.53Helped
Add Bayesian inference to image-to-image translation (ablation)Plant branch reconstruction · Simulated plants, 72 camerasStructure error: 0.8 -> 0.4Helped
Add Bayesian inference to image-to-image translation (ablation)Plant branch reconstruction · Simulated plants, 36 camerasStructure error: 8.2 -> 1.4Helped
Add Bayesian inference to image-to-image translation (ablation)Plant branch reconstruction · Simulated plants, 12 camerasStructure error: 13.6 -> 7.4Helped
Add Bayesian inference to image-to-image translation (ablation)Plant branch reconstruction · Simulated plants, 6 camerasStructure error: 88.2 -> 60.2Helped
Use more camera viewsBayesian image-to-image translation · Simulated plantsGeometric errorHelped
Use Bayesian multi-view inference rather than a single image-to-image predictionPlant branch reconstruction · Real plantsPerceived naturalnessHelped

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