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Research map / 3D vision / NeRF and radiance fields

Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes

CVPR 2021 · 3D vision › NeRF and radiance fields · approach: Sparse-input NeRF regularization · 215 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Fine-tune SRF on the 10 test views (ablation)SRF · DTU BirdsPSNR: 23.36 -> 24.97Helped
Fine-tune SRF on the 10 test views (ablation)SRF · DTU BuildingsPSNR: 17.22 -> 19.71Helped
Fine-tune SRF on the 10 test views (ablation)SRF · DTU RabbitPSNR: 18.79 -> 18.06Hurt
Fine-tune SRF on the 10 test views (ablation)SRF · DTU DetergentPSNR: 16.75 -> 16.97Helped
Fine-tune SRF on the 10 test views (ablation)SRF · DTU BirdsSSIM: 0.65 -> 0.72Helped
Fine-tune SRF on the 10 test views (ablation)SRF · DTU BuildingsSSIM: 0.57 -> 0.70Helped
Fine-tune SRF on the 10 test views (ablation)SRF · DTU RabbitSSIM: 0.48 -> 0.55Helped
Fine-tune SRF on the 10 test views (ablation)SRF · DTU DetergentSSIM: 0.48 -> 0.60Helped
Fine-tune SRF on the 10 test views (ablation)SRF · DTU BirdsLPIPS: 0.35 -> 0.27Helped
Fine-tune SRF on the 10 test views (ablation)SRF · DTU BuildingsLPIPS: 0.29 -> 0.18Helped
Fine-tune SRF on the 10 test views (ablation)SRF · DTU RabbitLPIPS: 0.49 -> 0.40Helped
Fine-tune SRF on the 10 test views (ablation)SRF · DTU DetergentLPIPS: 0.48 -> 0.37Helped

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