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Blind Super-Resolution Kernel Estimation using an Internal-GAN

NeurIPS 2019 · Image generation › Super-resolution · approach: Blind super-resolution · 215 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use KernelGAN-estimated rather than Michaeli & Irani-estimated kernels with ZSSRZSSR · DIV2KRK, ×2PSNR (dB): +1.1dBHelped
Use KernelGAN-estimated rather than Michaeli & Irani-estimated kernels with ZSSRZSSR · DIV2KRK, ×4PSNR (dB): +0.47dBHelped
Use KernelGAN-estimated rather than Michaeli & Irani-estimated kernels with SRMDSRMD · DIV2KRK, ×2PSNR (dB): +1dBHelped
Use KernelGAN-estimated rather than Michaeli & Irani-estimated kernels with SRMDSRMD · DIV2KRK, ×4PSNR (dB): +0.73dBHelped
Use KernelGAN-estimated rather than Michaeli & Irani-estimated kernels with ZSSRZSSR · DIV2KRK, ×2PSNR (dB): +4dBHelped
Use KernelGAN-estimated rather than Michaeli & Irani-estimated kernels with ZSSRZSSR · DIV2KRK, ×4PSNR (dB): +2.3dBHelped
Replace the single-layer linear generator with a deep linear generator (ablation)KernelGAN · DIV2KRK, ×2PSNR (dB): 3.8dBHelped
Replace the single-layer linear generator with a deep linear generator (ablation)KernelGAN · DIV2KRK, ×4PSNR (dB): 1.6dBHelped
Use KernelGAN-estimated rather than Michaeli & Irani-estimated kernels with SRMDSRMD · DIV2KRK, ×4SSIMHelped

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