Recent research on super-resolution has progressed with the development of deep convolutional neural networks (DCNN). In particular, residual learning techniques exhibit improved performance... (read more)
PDF
#6 best model for
Image Super-Resolution
on Urban100 - 4x upscaling
TASK | DATASET | MODEL | METRIC NAME | METRIC VALUE | GLOBAL RANK | COMPARE |
---|---|---|---|---|---|---|
Image Super-Resolution | BSD100 - 4x upscaling | EDSR | PSNR | 27.71 | # 7 | |
Image Super-Resolution | BSD100 - 4x upscaling | EDSR | SSIM | 0.7420 | # 9 | |
Image Super-Resolution | Manga109 - 4x upscaling | EDSR | PSNR | 31.02 | # 5 | |
Image Super-Resolution | Manga109 - 4x upscaling | EDSR | SSIM | 0.9148 | # 7 | |
Image Super-Resolution | Set14 - 4x upscaling | EDSR | PSNR | 28.80 | # 9 | |
Image Super-Resolution | Set14 - 4x upscaling | EDSR | SSIM | 0.7876 | # 10 | |
Image Super-Resolution | Set5 - 4x upscaling | EDSR | PSNR | 32.46 | # 7 | |
Image Super-Resolution | Set5 - 4x upscaling | EDSR | SSIM | 0.8968 | # 11 | |
Image Super-Resolution | Urban100 - 4x upscaling | EDSR | PSNR | 26.64 | # 6 | |
Image Super-Resolution | Urban100 - 4x upscaling | EDSR | SSIM | 0.8033 | # 5 |