Non-Local Recurrent Network for Image Restoration

NeurIPS 2018 Ding LiuBihan WenYuchen FanChen Change LoyThomas S. Huang

Many classic methods have shown non-local self-similarity in natural images to be an effective prior for image restoration. However, it remains unclear and challenging to make use of this intrinsic property via deep networks... (read more)

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Evaluation Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK COMPARE
Image Super-Resolution BSD100 - 4x upscaling NLRN PSNR 27.48 # 15
Image Super-Resolution BSD100 - 4x upscaling NLRN SSIM 0.7306 # 21
Image Denoising BSD68 sigma15 NLRN PSNR 31.88 # 1
Image Denoising BSD68 sigma25 NLRN PSNR 29.41 # 1
Image Denoising BSD68 sigma50 NLRN PSNR 26.47 # 2
Image Super-Resolution Set14 - 4x upscaling NLRN PSNR 28.36 # 16
Image Super-Resolution Set14 - 4x upscaling NLRN SSIM 0.7745 # 22
Image Super-Resolution Set5 - 4x upscaling NLRN PSNR 31.92 # 14
Image Super-Resolution Set5 - 4x upscaling NLRN SSIM 0.8916 # 18
Image Super-Resolution Urban100 - 4x upscaling NLRN PSNR 25.79 # 14
Image Super-Resolution Urban100 - 4x upscaling NLRN SSIM 0.7729 # 15
Image Denoising Urban100 sigma50 NLRN PSNR 27.49 # 2