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Research map / 3D vision / Depth and stereo

Stable View Synthesis

CVPR 2021 · 3D vision › Depth and stereo · approach: Feed-forward 3D reconstruction · 188 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use MLP Mean rather than Weighted Mean aggregation (ablation)SVS on Tanks and Temples validation scenes · Tanks and Temples validation scenesLPIPS%: 12.84 -> 12.51Helped
Use MLP Mean rather than MLP Max pooling (ablation)SVS on Tanks and Temples validation scenes · Tanks and Temples validation scenesLPIPS%: 12.65 -> 12.51Helped
Use 9 rather than 1 residual U-Net refinement stage (ablation)SVS on Tanks and Temples validation scenes · Tanks and Temples validation scenesLPIPS%: 12.62 -> 12.27Helped
Fine-tune network weights on the target scene (ablation)SVS on Tanks and Temples validation scenes · Tanks and Temples validation scenesLPIPS%: 12.19 -> 11.26Helped
Fine-tune network weights and optimize source images (ablation)SVS on Tanks and Temples validation scenes · Tanks and Temples validation scenesLPIPS%: 11.26 -> 9.99Helped
Apply scene-specific fine-tuning (ablation)SVS on FVS Pirate · FVS — PirateLPIPS%: 29.21 -> 30.83Hurt
Apply scene-specific fine-tuning (ablation)SVS on Tanks and Temples · Tanks and Temples — Truck, M60, Playground, TrainLPIPS%: 12.41 -> 9.34; 23.70 -> 20.45; 17.38 -> 14.22; 19.42 -> 15.73Helped
Use SVS rather than FVSNovel view synthesis · DTU view interpolation and extrapolationLPIPS%: 2.56/7.17 -> 1.70/5.61; 2.96/6.57 -> 1.93/3.69; 1.95/6.31 -> 1.30/4.26Helped

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