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Research map / 3D vision / Depth and stereo

$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation

NeurIPS 2024 · 3D vision › Depth and stereo · approach: Foundation models for monocular geometry · 1 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add SE(3) equivariance to the Perceiver IO architectureDeFiNe on ScanNet · ScanNetAbs.Rel.: 0.093 -> 0.086Helped
add SE(3) equivariance to the Perceiver IO architectureDeFiNe on SUN3D · SUN3DAbs.Rel.: 0.099 -> 0.090Helped
add SE(3) equivariance to the Perceiver IO architectureIIB on RGBD-SLAM · RGBD-SLAMRMSE: 0.550 -> 0.433Helped
add SE(3) equivariance to the Perceiver IO architectureNAS on Scenes11 · Scenes11Abs.Rel.: 0.038 -> 0.069Hurt
add camera information (ablation)EPIO on ScanNet · ScanNetAbs.Rel.: 0.229 -> 0.086Helped
use spherical harmonics instead of Fourier encodings (ablation)EPIO on ScanNet · ScanNetAbs.Rel.: 0.131 -> 0.086Helped
use equivariant attention instead of conventional attention (ablation)EPIO on ScanNet · ScanNetAbs.Rel.: 0.127 -> 0.086Helped
increase maximum spherical harmonics order from 1 to 2 (ablation)EPIO on ScanNet · ScanNetAbs.Rel.: 0.134 -> 0.125Helped
increase maximum spherical harmonics order from 2 to 4 (ablation)EPIO on ScanNet · ScanNetAbs.Rel.: 0.125 -> 0.116Helped
use a learned canonical frame and invariant decoder instead of an equivariant decoder (ablation)EPIO on ScanNet · ScanNetAbs.Rel.: 0.128 -> 0.086Helped
add virtual camera augmentation (ablation)EPIO on ScanNet · ScanNetAbs.Rel.: 0.104 -> 0.086Helped
add canonical camera jittering (ablation)EPIO on ScanNet · ScanNetAbs.Rel.: 0.086 -> 0.086No clear effect

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