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Models/SRFBN

SRFBN

Reported on 136 benchmarks across 4 tasks · 1 paper · 44 SOTA

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

Computer Vision68 results

Image Super-ResolutiononBSD100 - 2x upscaling
PSNR· 2019-03-23
32.29
best: 33.12 (WaveMixSR-V2)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononSet14 - 2x upscaling
PSNR· 2019-03-23
33.82
best: 35.36 (DRCT-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononSet5 - 3x upscaling
PSNR· 2019-03-23
34.7
best: 35.35 (HMA†)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
NIQE· 2019-03-23
13.901
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
SSIM· 2019-03-23
0.827
best: 0.859 (UNET++)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononUrban100 - 2x upscaling
PSNR· 2019-03-23
32.62
best: 35.24 (HMA†)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononManga109 - 3x upscaling
PSNR· 2019-03-23
34.18
best: 36.12 (Hi-IR-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononSet5 - 2x upscaling
PSNR· 2019-03-23
38.11
best: 39.14 (DRCT-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononManga109 - 2x upscaling
PSNR· 2019-03-23
39.08
best: 41.22 (Hi-IR-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononUrban100 - 3x upscaling
PSNR· 2019-03-23
28.73
best: 31.07 (Hi-IR-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononBSD100 - 3x upscaling
PSNR· 2019-03-23
29.24
best: 29.67 (Hi-IR-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononBSD100 - 2x upscaling
PSNR· 2019-03-23
32.29
best: 33.12 (WaveMixSR-V2)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononSet14 - 2x upscaling
PSNR· 2019-03-23
33.82
best: 35.36 (DRCT-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononSet5 - 3x upscaling
PSNR· 2019-03-23
34.7
best: 35.35 (HMA†)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
NIQE· 2019-03-23
13.901
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
SSIM· 2019-03-23
0.827
best: 0.859 (UNET++)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononUrban100 - 2x upscaling
PSNR· 2019-03-23
32.62
best: 35.24 (HMA†)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononManga109 - 3x upscaling
PSNR· 2019-03-23
34.18
best: 36.12 (Hi-IR-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononSet5 - 2x upscaling
PSNR· 2019-03-23
38.11
best: 39.14 (DRCT-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononManga109 - 2x upscaling
PSNR· 2019-03-23
39.08
best: 41.22 (Hi-IR-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononUrban100 - 3x upscaling
PSNR· 2019-03-23
28.73
best: 31.07 (Hi-IR-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononBSD100 - 3x upscaling
PSNR· 2019-03-23
29.24
best: 29.67 (Hi-IR-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononSet14 - 3x upscaling
PSNR· 2019-03-23
30.1
best: 31.55 (Hi-IR-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononSet14 - 4x upscaling
PSNR· 2019-03-23
28.81
best: 29.54 (DRCT-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononSet14 - 4x upscaling
SSIM· 2019-03-23
0.7868
best: 0.894 (Edge-informed SR)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononFFHQ 256 x 256 - 4x upscaling
FID· 2019-03-23
132.59
best: 5.36 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononFFHQ 256 x 256 - 4x upscaling
MS-SSIM· 2019-03-23
0.895
best: 0.971 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononFFHQ 256 x 256 - 4x upscaling
PSNR· 2019-03-23
21.96
best: 28.65 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononFFHQ 256 x 256 - 4x upscaling
SSIM· 2019-03-23
0.693
best: 0.816 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
FED· 2019-03-23
0.0984
best: 0.1416 (Super-FAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
FID· 2019-03-23
20.032
best: 1.898 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
LLE· 2019-03-23
2.066
best: 2.702 (WaveletCNN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
LPIPS· 2019-03-23
0.2406
best: 0.0723 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
MS-SSIM· 2019-03-23
0.953
best: 0.976 (UNET++)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
PSNR· 2019-03-23
29.577
best: 30.824 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononFFHQ 1024 x 1024 - 4x upscaling
FID· 2019-03-23
17.14
best: 1.978 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononFFHQ 1024 x 1024 - 4x upscaling
MS-SSIM· 2019-03-23
0.931
best: 0.975 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononFFHQ 1024 x 1024 - 4x upscaling
PSNR· 2019-03-23
27.9
best: 34.1 (CAGFace)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononFFHQ 1024 x 1024 - 4x upscaling
SSIM· 2019-03-23
0.822
best: 0.906 (CAGFace)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononManga109 - 4x upscaling
PSNR· 2019-03-23
31.15
best: 33.19 (HMA†)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononManga109 - 4x upscaling
SSIM· 2019-03-23
0.916
best: 0.9366 (Hi-IR-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononUrban100 - 4x upscaling
PSNR· 2019-03-23
26.6
best: 28.72 (Hi-IR-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononUrban100 - 4x upscaling
SSIM· 2019-03-23
0.8015
best: 0.9481 (SPSR)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononBSD100 - 4x upscaling
PSNR· 2019-03-23
27.72
best: 28.16 (DRCT-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Image Super-ResolutiononBSD100 - 4x upscaling
SSIM· 2019-03-23
0.7409
best: 0.851 (Edge-informed SR)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononSet14 - 3x upscaling
PSNR· 2019-03-23
30.1
best: 31.55 (Hi-IR-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononSet14 - 4x upscaling
PSNR· 2019-03-23
28.81
best: 29.54 (DRCT-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononSet14 - 4x upscaling
SSIM· 2019-03-23
0.7868
best: 0.894 (Edge-informed SR)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononFFHQ 256 x 256 - 4x upscaling
FID· 2019-03-23
132.59
best: 5.36 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononFFHQ 256 x 256 - 4x upscaling
MS-SSIM· 2019-03-23
0.895
best: 0.971 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononFFHQ 256 x 256 - 4x upscaling
PSNR· 2019-03-23
21.96
best: 28.65 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononFFHQ 256 x 256 - 4x upscaling
SSIM· 2019-03-23
0.693
best: 0.816 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
FED· 2019-03-23
0.0984
best: 0.1416 (Super-FAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
FID· 2019-03-23
20.032
best: 1.898 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
LLE· 2019-03-23
2.066
best: 2.702 (WaveletCNN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
LPIPS· 2019-03-23
0.2406
best: 0.0723 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
MS-SSIM· 2019-03-23
0.953
best: 0.976 (UNET++)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
PSNR· 2019-03-23
29.577
best: 30.824 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononFFHQ 1024 x 1024 - 4x upscaling
FID· 2019-03-23
17.14
best: 1.978 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononFFHQ 1024 x 1024 - 4x upscaling
MS-SSIM· 2019-03-23
0.931
best: 0.975 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononFFHQ 1024 x 1024 - 4x upscaling
PSNR· 2019-03-23
27.9
best: 34.1 (CAGFace)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononFFHQ 1024 x 1024 - 4x upscaling
SSIM· 2019-03-23
0.822
best: 0.906 (CAGFace)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononManga109 - 4x upscaling
PSNR· 2019-03-23
31.15
best: 33.19 (HMA†)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononManga109 - 4x upscaling
SSIM· 2019-03-23
0.916
best: 0.9366 (Hi-IR-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononUrban100 - 4x upscaling
PSNR· 2019-03-23
26.6
best: 28.72 (Hi-IR-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononUrban100 - 4x upscaling
SSIM· 2019-03-23
0.8015
best: 0.9481 (SPSR)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononBSD100 - 4x upscaling
PSNR· 2019-03-23
27.72
best: 28.16 (DRCT-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
3D Object Super-ResolutiononBSD100 - 4x upscaling
SSIM· 2019-03-23
0.7409
best: 0.851 (Edge-informed SR)
Feedback Network for Image Super-Resolution arXiv:1903.09814

Graphs34 results

Super-ResolutiononBSD100 - 2x upscaling
PSNR· 2019-03-23
32.29
best: 33.12 (WaveMixSR-V2)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononSet14 - 2x upscaling
PSNR· 2019-03-23
33.82
best: 35.36 (DRCT-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononSet5 - 3x upscaling
PSNR· 2019-03-23
34.7
best: 35.35 (HMA†)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
NIQE· 2019-03-23
13.901
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
SSIM· 2019-03-23
0.827
best: 0.859 (UNET++)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononUrban100 - 2x upscaling
PSNR· 2019-03-23
32.62
best: 35.24 (HMA†)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononManga109 - 3x upscaling
PSNR· 2019-03-23
34.18
best: 36.12 (Hi-IR-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononSet5 - 2x upscaling
PSNR· 2019-03-23
38.11
best: 39.14 (DRCT-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononManga109 - 2x upscaling
PSNR· 2019-03-23
39.08
best: 41.22 (Hi-IR-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononUrban100 - 3x upscaling
PSNR· 2019-03-23
28.73
best: 31.07 (Hi-IR-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononBSD100 - 3x upscaling
PSNR· 2019-03-23
29.24
best: 29.67 (Hi-IR-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononSet14 - 3x upscaling
PSNR· 2019-03-23
30.1
best: 31.55 (Hi-IR-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononSet14 - 4x upscaling
PSNR· 2019-03-23
28.81
best: 29.54 (DRCT-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononSet14 - 4x upscaling
SSIM· 2019-03-23
0.7868
best: 0.894 (Edge-informed SR)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononFFHQ 256 x 256 - 4x upscaling
FID· 2019-03-23
132.59
best: 5.36 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononFFHQ 256 x 256 - 4x upscaling
MS-SSIM· 2019-03-23
0.895
best: 0.971 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononFFHQ 256 x 256 - 4x upscaling
PSNR· 2019-03-23
21.96
best: 28.65 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononFFHQ 256 x 256 - 4x upscaling
SSIM· 2019-03-23
0.693
best: 0.816 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
FED· 2019-03-23
0.0984
best: 0.1416 (Super-FAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
FID· 2019-03-23
20.032
best: 1.898 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
LLE· 2019-03-23
2.066
best: 2.702 (WaveletCNN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
LPIPS· 2019-03-23
0.2406
best: 0.0723 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
MS-SSIM· 2019-03-23
0.953
best: 0.976 (UNET++)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
PSNR· 2019-03-23
29.577
best: 30.824 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononFFHQ 1024 x 1024 - 4x upscaling
FID· 2019-03-23
17.14
best: 1.978 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononFFHQ 1024 x 1024 - 4x upscaling
MS-SSIM· 2019-03-23
0.931
best: 0.975 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononFFHQ 1024 x 1024 - 4x upscaling
PSNR· 2019-03-23
27.9
best: 34.1 (CAGFace)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononFFHQ 1024 x 1024 - 4x upscaling
SSIM· 2019-03-23
0.822
best: 0.906 (CAGFace)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononManga109 - 4x upscaling
PSNR· 2019-03-23
31.15
best: 33.19 (HMA†)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononManga109 - 4x upscaling
SSIM· 2019-03-23
0.916
best: 0.9366 (Hi-IR-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononUrban100 - 4x upscaling
PSNR· 2019-03-23
26.6
best: 28.72 (Hi-IR-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononUrban100 - 4x upscaling
SSIM· 2019-03-23
0.8015
best: 0.9481 (SPSR)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononBSD100 - 4x upscaling
PSNR· 2019-03-23
27.72
best: 28.16 (DRCT-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
Super-ResolutiononBSD100 - 4x upscaling
SSIM· 2019-03-23
0.7409
best: 0.851 (Edge-informed SR)
Feedback Network for Image Super-Resolution arXiv:1903.09814

Methodology34 results

16konBSD100 - 2x upscaling
PSNR· 2019-03-23
32.29
best: 33.12 (WaveMixSR-V2)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konSet14 - 2x upscaling
PSNR· 2019-03-23
33.82
best: 35.36 (DRCT-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konSet5 - 3x upscaling
PSNR· 2019-03-23
34.7
best: 35.35 (HMA†)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konFFHQ 512 x 512 - 4x upscaling
NIQE· 2019-03-23
13.901
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konFFHQ 512 x 512 - 4x upscaling
SSIM· 2019-03-23
0.827
best: 0.859 (UNET++)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konUrban100 - 2x upscaling
PSNR· 2019-03-23
32.62
best: 35.24 (HMA†)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konManga109 - 3x upscaling
PSNR· 2019-03-23
34.18
best: 36.12 (Hi-IR-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konSet5 - 2x upscaling
PSNR· 2019-03-23
38.11
best: 39.14 (DRCT-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konManga109 - 2x upscaling
PSNR· 2019-03-23
39.08
best: 41.22 (Hi-IR-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konUrban100 - 3x upscaling
PSNR· 2019-03-23
28.73
best: 31.07 (Hi-IR-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konBSD100 - 3x upscaling
PSNR· 2019-03-23
29.24
best: 29.67 (Hi-IR-L)
SOTA
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konSet14 - 3x upscaling
PSNR· 2019-03-23
30.1
best: 31.55 (Hi-IR-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konSet14 - 4x upscaling
PSNR· 2019-03-23
28.81
best: 29.54 (DRCT-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konSet14 - 4x upscaling
SSIM· 2019-03-23
0.7868
best: 0.894 (Edge-informed SR)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konFFHQ 256 x 256 - 4x upscaling
FID· 2019-03-23
132.59
best: 5.36 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konFFHQ 256 x 256 - 4x upscaling
MS-SSIM· 2019-03-23
0.895
best: 0.971 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konFFHQ 256 x 256 - 4x upscaling
PSNR· 2019-03-23
21.96
best: 28.65 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konFFHQ 256 x 256 - 4x upscaling
SSIM· 2019-03-23
0.693
best: 0.816 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konFFHQ 512 x 512 - 4x upscaling
FED· 2019-03-23
0.0984
best: 0.1416 (Super-FAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konFFHQ 512 x 512 - 4x upscaling
FID· 2019-03-23
20.032
best: 1.898 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konFFHQ 512 x 512 - 4x upscaling
LLE· 2019-03-23
2.066
best: 2.702 (WaveletCNN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konFFHQ 512 x 512 - 4x upscaling
LPIPS· 2019-03-23
0.2406
best: 0.0723 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konFFHQ 512 x 512 - 4x upscaling
MS-SSIM· 2019-03-23
0.953
best: 0.976 (UNET++)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konFFHQ 512 x 512 - 4x upscaling
PSNR· 2019-03-23
29.577
best: 30.824 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konFFHQ 1024 x 1024 - 4x upscaling
FID· 2019-03-23
17.14
best: 1.978 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konFFHQ 1024 x 1024 - 4x upscaling
MS-SSIM· 2019-03-23
0.931
best: 0.975 (HiFaceGAN)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konFFHQ 1024 x 1024 - 4x upscaling
PSNR· 2019-03-23
27.9
best: 34.1 (CAGFace)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konFFHQ 1024 x 1024 - 4x upscaling
SSIM· 2019-03-23
0.822
best: 0.906 (CAGFace)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konManga109 - 4x upscaling
PSNR· 2019-03-23
31.15
best: 33.19 (HMA†)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konManga109 - 4x upscaling
SSIM· 2019-03-23
0.916
best: 0.9366 (Hi-IR-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konUrban100 - 4x upscaling
PSNR· 2019-03-23
26.6
best: 28.72 (Hi-IR-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konUrban100 - 4x upscaling
SSIM· 2019-03-23
0.8015
best: 0.9481 (SPSR)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konBSD100 - 4x upscaling
PSNR· 2019-03-23
27.72
best: 28.16 (DRCT-L)
Feedback Network for Image Super-Resolution arXiv:1903.09814
16konBSD100 - 4x upscaling
SSIM· 2019-03-23
0.7409
best: 0.851 (Edge-informed SR)
Feedback Network for Image Super-Resolution arXiv:1903.09814