Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network

30 Nov 2018Jun-Ho ChoiJun-Hyuk KimManri CheonJong-Seok Lee

Recently, several deep learning-based image super-resolution methods have been developed by stacking massive numbers of layers. However, this leads too large model sizes and high computational complexities, thus some recursive parameter-sharing methods have been also proposed... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Image Super-Resolution BSD100 - 4x upscaling BSRN PSNR 27.57 # 15
SSIM 0.7353 # 20
Image Super-Resolution Set14 - 4x upscaling BSRN PSNR 28.56 # 17
SSIM 0.7803 # 23
Image Super-Resolution Set5 - 4x upscaling BSRN PSNR 32.14 # 14
SSIM 0.8937 # 18
Image Super-Resolution Urban100 - 4x upscaling BSRN PSNR 26.03 # 20
SSIM 0.7835 # 16

Methods used in the Paper


METHOD TYPE
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