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CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture

ICLR 2022 · 3D vision › Face and shape · approach: Implicit neural representation design · 8 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Split coordinate inputs into branches and fuse their featuresCoordMLPs for image fitting · DIV2K image fitting, 512×512PSNR: 40.25 -> 37.08; 37.30 -> 33.89Hurt
Use accelerated split-compatible sampling (ablation)CoordX image fitting · DIV2K image fitting, 512×512training time: 22.33 -> 5.73 min; 27.08 -> 5.06 minHelped
Split spatial coordinates from time rather than splitting X, Y, and time separately (ablation)CoordX video fitting · Video fittingPSNR: 31.69 -> 33.63Helped
Use accelerated split-compatible sampling (ablation)CoordX video fitting, XY+T · Video fittingtraining time: 5.22 h -> 2.13 hHelped
Split coordinates into branchesCoordX 3D shape fitting · 3D shape fitting, easy and hardIoU: 0.991 / 0.970 -> 0.991 / 0.970No clear effect
Use four-branch CoordX in place of the LIIF decoder MLPLIIF with EDSR · DIV2K super-resolution, ×2PSNR: 34.67 -> 34.65No clear effect
Use four-branch CoordX in place of the LIIF decoder MLPLIIF with EDSR · DIV2K super-resolution, ×2 inferenceinference time: 131.03 ms -> 45.53 msHelped
Increase the number of split layers by reducing D_f (ablation)CoordX 3D shape fitting · 3D shape fitting, 128³ gridIoU: 0.976 -> 0.880Hurt
Increase the number of split layers by reducing D_f (ablation)CoordX 3D shape fitting · 3D shape fitting, 128³ gridtraining time: 5.72 -> 2.38 minHelped
Increase the reduction dimension R (ablation)CoordX image fitting · DIV2K image fittingPSNR: 37.08 -> 39.70; 37.08 -> 41.60Helped
At fixed R, widen splitting layers instead of only widening the layer before fusion (ablation)CoordX image fitting · DIV2K image fittingPSNR: 39.70 -> 41.32; 41.60 -> 43.55Helped
Replace multiplicative feature fusion with additive fusion (ablation)CoordX image fitting · Image fitting, SIREN and positional encodingPSNR: 36.32 -> 33.03; 31.41 -> 26.51Hurt

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