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Research map / 3D vision / 3D generation

LASER: LAtent SpacE Rendering for 2D Visual Localization

CVPR 2022 · 3D vision › 3D generation · approach: Learning 3D reconstruction from images · 18 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use LASER with semantic map labels instead of MCLPanorama localization · ZInD1m recall (%): 90.15 -> 97.12Helped
Use LASER with semantic map labels instead of LaLaLocPanorama localization · Structured3D (Full furnishing)1m recall (%): 87.51 -> 95.52Helped
Use LASER with semantic map labels instead of MCLPerspective 90° FoV localization · ZInD1m recall (%): 34.72 -> 59.40Helped
Use LASER with semantic map labels instead of MCLPerspective 90° FoV localization · Structured3D (Full furnishing)1m recall (%): 26.81 -> 56.28Helped
Use latent-space rendering with codebooks instead of per-sample rendering and encodingLASER · S3D samplingSampling Fps: 2471 ± 1328 -> 13238 ± 1890Helped
Add the refinement branch (ablation)LASER base · ZInD panoramamedian rotation error (deg): 5.45 -> 0.47Helped
Add the refinement branch (ablation)LASER base · ZInD perspective 90° FoVmedian rotation error (deg): 5.46 -> 1.15Helped
Add context loss (ablation)LASER · ZInD perspective 90° FoV1m recall (%): 50.52 -> 54.55Helped
Add PointNet map encoding instead of shared codebooks per semantic label (ablation)LASER · ZInD perspective 90° FoV1m recall (%): 50.26 -> 54.55Helped
Add dynamic rendering codebooks instead of fixed features per map point (ablation)LASER · ZInD perspective 90° FoV1m recall (%): 10.34 -> 54.55Helped
Add circular feature structure instead of a rotation-agnostic feature (V=1) (ablation)LASER · ZInD panorama1m recall (%): 58.24 -> 97.06Helped
Add circular feature structure instead of a rotation-agnostic feature (V=1) (ablation)LASER · ZInD perspective 90° FoV1m recall (%): 20.11 -> 54.55Helped

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