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Models/DRCN [[Kim et al.2016b]]

DRCN [[Kim et al.2016b]]

Reported on 16 benchmarks across 4 tasks · 1 paper · 12 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision8 results

Image Super-ResolutiononBSD100 - 2x upscaling
PSNR· 2015-11-14
31.85
best: 33.12 (WaveMixSR-V2)
SOTA
Deeply-Recursive Convolutional Network for Image Super-Resolution arXiv:1511.04491
Image Super-ResolutiononSet14 - 2x upscaling
PSNR· 2015-11-14
33.04
best: 35.36 (DRCT-L)
SOTA
Deeply-Recursive Convolutional Network for Image Super-Resolution arXiv:1511.04491
Image Super-ResolutiononSet5 - 2x upscaling
PSNR· 2015-11-14
37.63
best: 39.14 (DRCT-L)
SOTA
Deeply-Recursive Convolutional Network for Image Super-Resolution arXiv:1511.04491
3D Object Super-ResolutiononBSD100 - 2x upscaling
PSNR· 2015-11-14
31.85
best: 33.12 (WaveMixSR-V2)
SOTA
Deeply-Recursive Convolutional Network for Image Super-Resolution arXiv:1511.04491
3D Object Super-ResolutiononSet14 - 2x upscaling
PSNR· 2015-11-14
33.04
best: 35.36 (DRCT-L)
SOTA
Deeply-Recursive Convolutional Network for Image Super-Resolution arXiv:1511.04491
3D Object Super-ResolutiononSet5 - 2x upscaling
PSNR· 2015-11-14
37.63
best: 39.14 (DRCT-L)
SOTA
Deeply-Recursive Convolutional Network for Image Super-Resolution arXiv:1511.04491
Image Super-ResolutiononUrban100 - 2x upscaling
PSNR· 2015-11-14
30.75
best: 35.24 (HMA†)
Deeply-Recursive Convolutional Network for Image Super-Resolution arXiv:1511.04491
3D Object Super-ResolutiononUrban100 - 2x upscaling
PSNR· 2015-11-14
30.75
best: 35.24 (HMA†)
Deeply-Recursive Convolutional Network for Image Super-Resolution arXiv:1511.04491

Graphs4 results

Super-ResolutiononBSD100 - 2x upscaling
PSNR· 2015-11-14
31.85
best: 33.12 (WaveMixSR-V2)
SOTA
Deeply-Recursive Convolutional Network for Image Super-Resolution arXiv:1511.04491
Super-ResolutiononSet14 - 2x upscaling
PSNR· 2015-11-14
33.04
best: 35.36 (DRCT-L)
SOTA
Deeply-Recursive Convolutional Network for Image Super-Resolution arXiv:1511.04491
Super-ResolutiononSet5 - 2x upscaling
PSNR· 2015-11-14
37.63
best: 39.14 (DRCT-L)
SOTA
Deeply-Recursive Convolutional Network for Image Super-Resolution arXiv:1511.04491
Super-ResolutiononUrban100 - 2x upscaling
PSNR· 2015-11-14
30.75
best: 35.24 (HMA†)
Deeply-Recursive Convolutional Network for Image Super-Resolution arXiv:1511.04491

Methodology4 results

16konBSD100 - 2x upscaling
PSNR· 2015-11-14
31.85
best: 33.12 (WaveMixSR-V2)
SOTA
Deeply-Recursive Convolutional Network for Image Super-Resolution arXiv:1511.04491
16konSet14 - 2x upscaling
PSNR· 2015-11-14
33.04
best: 35.36 (DRCT-L)
SOTA
Deeply-Recursive Convolutional Network for Image Super-Resolution arXiv:1511.04491
16konSet5 - 2x upscaling
PSNR· 2015-11-14
37.63
best: 39.14 (DRCT-L)
SOTA
Deeply-Recursive Convolutional Network for Image Super-Resolution arXiv:1511.04491
16konUrban100 - 2x upscaling
PSNR· 2015-11-14
30.75
best: 35.24 (HMA†)
Deeply-Recursive Convolutional Network for Image Super-Resolution arXiv:1511.04491