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Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution

CVPR 2023 · Image generation › Super-resolution · approach: Perceptual and real-world SR · 73 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
replace the local implicit baseline with CLITEDSR-baseline arbitrary-scale SR · DIV2K validation ×2PSNR (dB): 34.72 -> 34.82Helped
use CLIT instead of LTERDN arbitrary-scale SR · DIV2K validation ×12PSNR (dB): 23.95 -> 24.01Helped
use CLIT instead of LTESwinIR arbitrary-scale SR · DIV2K validation ×30PSNR (dB): 20.73 -> 20.71Hurt
add cross-scale local attention (ablation)LIT · DIV2K validation ×2PSNR (dB): 34.74 -> 34.79Helped
add cross-scale local attention (ablation)LIT · DIV2K validation ×12PSNR (dB): 23.70 -> 23.79Helped
add cell size decoding (ablation)LIT · DIV2K validation ×2PSNR (dB): 34.64 -> 34.79Helped
add cell size decoding (ablation)LIT · DIV2K validation ×12PSNR (dB): 23.78 -> 23.79No clear effect
add local ensemble (ablation)LIT · DIV2K validation ×2PSNR (dB): 34.79 -> 34.81Helped
vary local grid from 7×7 to 25×25 (ablation)LIT · DIV2K validation ×2PSNR (dB): 34.79 -> 34.83Helped
vary local grid from 7×7 to 25×25 (ablation)LIT · DIV2K validation ×12PSNR (dB): 23.79 -> 23.78No clear effect
train across r ∼ U(1, 12) rather than r ∼ U(1, 4) (ablation)LIT · DIV2K validation ×2 and ×12PSNR (dB): 34.79 -> 34.72; 23.79 -> 23.83Mixed
use alternative small/large-scale training (ablation)LIT · DIV2K validation ×2 and ×12PSNR (dB): 34.79 -> 34.75; 23.79 -> 23.84Mixed

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