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Research map / 3D vision / Depth and stereo

Multi-View Stereo Representation Revist: Region-Aware MVSNet

CVPR 2023 · 3D vision › Depth and stereo · approach: Cost-volume multi-view stereo · 28 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add SDF prediction branch to the depth-only model (ablation)CasMVSNet · DTU evaluation setOverall (mm): 0.319 -> 0.310Helped
fuse SDF predictions with the depth branch (ablation)two-branch MVS model · DTU evaluation setOverall (mm): 0.310 -> 0.302Helped
add SDF prediction branch to the depth-only model (ablation)CasMVSNet · Tanks and TemplesF-score: 64.02 -> 64.62Helped
fuse SDF predictions with the depth branch (ablation)two-branch MVS model · Tanks and TemplesF-score: 64.62 -> 65.39Helped
use RFP instead of FPN as the image encoder (ablation)RA-MVSNet · DTU evaluation setOverall (mm): 0.302 -> 0.297Helped
increase fusion threshold θ (ablation)RA-MVSNet · DTU evaluation setOverall (mm): 0.297 -> 0.302 -> 0.310 -> 0.310Hurt
increase inference image resolution (ablation)RA-MVSNet · Tanks and TemplesF-score: 57.69 -> 63.62 -> 65.72Helped
increase inference image resolution (ablation)RA-MVSNet · Tanks and TemplesMem.: 3702M -> 6799M -> 10527MHurt
increase local patch size up to 5 (ablation)RA-MVSNet signed-distance ground-truth search · BlendedMVS and DTUreconstruction performanceHelped
use patch size larger than 5 (ablation)RA-MVSNet signed-distance ground-truth search · BlendedMVS and DTUreconstruction performanceNo clear effect
increase the number of input images (ablation)RA-MVSNet · DTUreconstruction performanceMixed
add the SDF branch (ablation)CasMVSNet · DTU evaluation setMemory: 8487M -> 8624MHurt

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