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Learning Continuous Image Representation With Local Implicit Image Function

CVPR 2021 · 3D vision › Face and shape · approach: Implicit neural representation design · 770 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use LIIF instead of MetaSR with the EDSR-baseline encoderEDSR-baseline · DIV2K validation ×30PSNR (dB): 20.37 -> 20.48Helped
Use LIIF instead of MetaSR with the RDN encoderRDN · DIV2K validation ×30PSNR (dB): 20.47 -> 20.59Helped
Use LIIF rather than resizing ground-truths to one fixed sizeCelebAHQ size-varied image-to-image learning · CelebAHQ L=64, H=128PSNR (dB): 34.78 -> 35.96Helped
Use LIIF rather than resizing ground-truths to one fixed sizeCelebAHQ size-varied image-to-image learning · CelebAHQ L=32, H=256PSNR (dB): 27.56 -> 27.74Helped
Add cell decoding (ablation)LIIF · DIV2K validation ×4PSNR (dB): 28.97 -> 29.00Helped
Add cell decoding (ablation)LIIF · DIV2K validation ×30PSNR (dB): 20.51 -> 20.48Hurt
Add feature unfolding (ablation)LIIF · DIV2K validation ×30PSNR (dB): 20.47 -> 20.48No clear effect
Add local ensemble (ablation)LIIF · DIV2K validation ×30PSNR (dB): 20.45 -> 20.48Helped
Use a 5-layer rather than 3-layer decoder (ablation)LIIF · DIV2K validation ×30PSNR (dB): 20.42 -> 20.48Helped
Train at one fixed scale rather than random scales ×1–×4 (ablation)LIIF · DIV2K validation ×4PSNR (dB): 29.00 -> 28.77 (×2-only); 29.00 -> 28.99 (×3-only); 29.00 -> 29.00 (×4-only)Mixed
Train at ×4 only instead of random scales ×1–×4 (ablation)LIIF · DIV2K validation ×30PSNR (dB): 20.48 -> 20.51Helped

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