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Research map / 3D vision / Depth and stereo

GenS: Generalizable Neural Surface Reconstruction from Multi-View Images

NeurIPS 2023 · 3D vision › Depth and stereo · approach: Feed-forward 3D reconstruction · 5 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace SparseNeuS with GenSSparse-input reconstruction on DTU · DTU sparse inputsChamfer Distance: 1.64 -> 1.34Helped
Fine-tune GenSGenS on DTU · DTU sparse inputsChamfer Distance: 1.34 -> 1.03Helped
Add multi-scale feature-metric consistency (MFC) (ablation)SparseNeuS baseline · DTU sparse inputsChamfer Distance: 1.90 -> 1.62Helped
Add generalized multi-scale volume (GMV) (ablation)MFC-equipped SparseNeuS baseline · DTU sparse inputsChamfer Distance: 1.62 -> 1.42Helped
Add view contrast loss (VCL) (ablation)MFC + GMV model · DTU sparse inputsChamfer Distance: 1.42 -> 1.34Helped
Add patch similarity (ablation)MFC · DTUChamfer Distance: 1.86 -> 1.76Helped
Add multi-scale features to patch similarity (ablation)MFC · DTUChamfer Distance: 1.76 -> 1.73Helped
Add self-enhancement to multi-scale patch similarity (ablation)MFC · DTUChamfer Distance: 1.73 -> 1.62Helped
Fine-tune GenSGenS on DTU dense inputs · DTU dense inputsChamfer Distance: 0.80 -> 0.62Helped

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