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Models/ESPCN

ESPCN

Reported on 192 benchmarks across 14 tasks · 2 papers · 113 SOTA

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

Computer Vision87 results

3D Human Pose EstimationonUltra Video Group HD - 4x upscaling
Average PSNR· 2016-09-16
37.91
best: 48.23 (RAMS (ours))
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Human Pose EstimationonXiph HD - 4x upscaling
Average PSNR· 2016-09-16
31.67
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Human Pose EstimationonVid4 - 4x upscaling
PSNR· 2016-09-16
25.06
best: 31.36 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Human Pose EstimationonVid4 - 4x upscaling
SSIM· 2016-09-16
0.7394
best: 0.933 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
1 - LPIPS· 2016-09-16
0.765
best: 0.623 (DFDnet)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
ERQAv1.0· 2016-09-16
0.521
best: 0.758 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
FPS· 2016-09-16
3.333
best: 5.882 (SRMD)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
PSNR· 2016-09-16
26.714
best: 31.669 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
SSIM· 2016-09-16
0.811
best: 0.902 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
Subjective score· 2016-09-16
2.099
best: 7.628 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
VideoonUltra Video Group HD - 4x upscaling
Average PSNR· 2016-09-16
37.91
best: 48.23 (RAMS (ours))
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
VideoonXiph HD - 4x upscaling
Average PSNR· 2016-09-16
31.67
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
VideoonVid4 - 4x upscaling
PSNR· 2016-09-16
25.06
best: 31.36 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
VideoonVid4 - 4x upscaling
SSIM· 2016-09-16
0.7394
best: 0.933 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
VideoonMSU Video Super Resolution Benchmark: Detail Restoration
1 - LPIPS· 2016-09-16
0.765
best: 0.623 (DFDnet)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
VideoonMSU Video Super Resolution Benchmark: Detail Restoration
ERQAv1.0· 2016-09-16
0.521
best: 0.758 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
VideoonMSU Video Super Resolution Benchmark: Detail Restoration
FPS· 2016-09-16
3.333
best: 5.882 (SRMD)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
VideoonMSU Video Super Resolution Benchmark: Detail Restoration
PSNR· 2016-09-16
26.714
best: 31.669 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
VideoonMSU Video Super Resolution Benchmark: Detail Restoration
SSIM· 2016-09-16
0.811
best: 0.902 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
VideoonMSU Video Super Resolution Benchmark: Detail Restoration
Subjective score· 2016-09-16
2.099
best: 7.628 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Pose EstimationonUltra Video Group HD - 4x upscaling
Average PSNR· 2016-09-16
37.91
best: 48.23 (RAMS (ours))
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Pose EstimationonXiph HD - 4x upscaling
Average PSNR· 2016-09-16
31.67
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Pose EstimationonVid4 - 4x upscaling
PSNR· 2016-09-16
25.06
best: 31.36 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Pose EstimationonVid4 - 4x upscaling
SSIM· 2016-09-16
0.7394
best: 0.933 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
1 - LPIPS· 2016-09-16
0.765
best: 0.623 (DFDnet)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
ERQAv1.0· 2016-09-16
0.521
best: 0.758 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
FPS· 2016-09-16
3.333
best: 5.882 (SRMD)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
PSNR· 2016-09-16
26.714
best: 31.669 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
SSIM· 2016-09-16
0.811
best: 0.902 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
Subjective score· 2016-09-16
2.099
best: 7.628 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Video Super-ResolutiononUltra Video Group HD - 4x upscaling
Average PSNR· 2016-09-16
37.91
best: 48.23 (RAMS (ours))
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Video Super-ResolutiononXiph HD - 4x upscaling
Average PSNR· 2016-09-16
31.67
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Video Super-ResolutiononVid4 - 4x upscaling
PSNR· 2016-09-16
25.06
best: 31.36 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Video Super-ResolutiononVid4 - 4x upscaling
SSIM· 2016-09-16
0.7394
best: 0.933 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Video Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
1 - LPIPS· 2016-09-16
0.765
best: 0.623 (DFDnet)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Video Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
ERQAv1.0· 2016-09-16
0.521
best: 0.758 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Video Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
FPS· 2016-09-16
3.333
best: 5.882 (SRMD)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Video Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
PSNR· 2016-09-16
26.714
best: 31.669 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Video Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
SSIM· 2016-09-16
0.811
best: 0.902 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Video Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
Subjective score· 2016-09-16
2.099
best: 7.628 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononUltra Video Group HD - 4x upscaling
Average PSNR· 2016-09-16
37.91
best: 48.23 (RAMS (ours))
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononXiph HD - 4x upscaling
Average PSNR· 2016-09-16
31.67
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononVid4 - 4x upscaling
PSNR· 2016-09-16
25.06
best: 31.36 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononVid4 - 4x upscaling
SSIM· 2016-09-16
0.7394
best: 0.933 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
1 - LPIPS· 2016-09-16
0.765
best: 0.623 (DFDnet)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
ERQAv1.0· 2016-09-16
0.521
best: 0.758 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
FPS· 2016-09-16
3.333
best: 5.882 (SRMD)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
PSNR· 2016-09-16
26.714
best: 31.669 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
SSIM· 2016-09-16
0.811
best: 0.902 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
Subjective score· 2016-09-16
2.099
best: 7.628 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Human Pose EstimationonMSU Video Upscalers: Quality Enhancement
PSNR· 2016-09-16
26.25
best: 31.28 (VEAI-AHQ-12)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Human Pose EstimationonMSU Video Upscalers: Quality Enhancement
SSIM· 2016-09-16
0.926
best: 0.939 (iSeeBetter)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Human Pose EstimationonMSU Video Upscalers: Quality Enhancement
VMAF· 2016-09-16
47.19
best: 61.2 (TecoGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Human Pose EstimationonVid4 - 4x upscaling
MOVIE· 2016-09-16
6.54
best: 9.31 (bicubic)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
VideoonMSU Video Upscalers: Quality Enhancement
PSNR· 2016-09-16
26.25
best: 31.28 (VEAI-AHQ-12)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
VideoonMSU Video Upscalers: Quality Enhancement
SSIM· 2016-09-16
0.926
best: 0.939 (iSeeBetter)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
VideoonMSU Video Upscalers: Quality Enhancement
VMAF· 2016-09-16
47.19
best: 61.2 (TecoGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
VideoonVid4 - 4x upscaling
MOVIE· 2016-09-16
6.54
best: 9.31 (bicubic)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Pose EstimationonMSU Video Upscalers: Quality Enhancement
PSNR· 2016-09-16
26.25
best: 31.28 (VEAI-AHQ-12)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Pose EstimationonMSU Video Upscalers: Quality Enhancement
SSIM· 2016-09-16
0.926
best: 0.939 (iSeeBetter)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Pose EstimationonMSU Video Upscalers: Quality Enhancement
VMAF· 2016-09-16
47.19
best: 61.2 (TecoGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Pose EstimationonVid4 - 4x upscaling
MOVIE· 2016-09-16
6.54
best: 9.31 (bicubic)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Image Super-ResolutiononSet14 - 4x upscaling
MOS· 2016-09-16
2.52
best: 3.72 (SRGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Image Super-ResolutiononSet14 - 4x upscaling
PSNR· 2016-09-16
27.66
best: 29.54 (DRCT-L)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Image Super-ResolutiononSet14 - 4x upscaling
SSIM· 2016-09-16
0.8004
best: 0.894 (Edge-informed SR)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Image Super-ResolutiononBSD100 - 4x upscaling
MOS· 2016-09-16
2.01
best: 3.56 (SRGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Image Super-ResolutiononBSD100 - 4x upscaling
PSNR· 2016-09-16
27.02
best: 28.16 (DRCT-L)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Image Super-ResolutiononBSD100 - 4x upscaling
SSIM· 2016-09-16
0.7442
best: 0.851 (Edge-informed SR)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Video Super-ResolutiononMSU Video Upscalers: Quality Enhancement
PSNR· 2016-09-16
26.25
best: 31.28 (VEAI-AHQ-12)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Video Super-ResolutiononMSU Video Upscalers: Quality Enhancement
SSIM· 2016-09-16
0.926
best: 0.939 (iSeeBetter)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Video Super-ResolutiononMSU Video Upscalers: Quality Enhancement
VMAF· 2016-09-16
47.19
best: 61.2 (TecoGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Video Super-ResolutiononVid4 - 4x upscaling
MOVIE· 2016-09-16
6.54
best: 9.31 (bicubic)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononSet14 - 4x upscaling
MOS· 2016-09-16
2.52
best: 3.72 (SRGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononSet14 - 4x upscaling
PSNR· 2016-09-16
27.66
best: 29.54 (DRCT-L)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononSet14 - 4x upscaling
SSIM· 2016-09-16
0.8004
best: 0.894 (Edge-informed SR)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononBSD100 - 4x upscaling
MOS· 2016-09-16
2.01
best: 3.56 (SRGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononBSD100 - 4x upscaling
PSNR· 2016-09-16
27.02
best: 28.16 (DRCT-L)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononBSD100 - 4x upscaling
SSIM· 2016-09-16
0.7442
best: 0.851 (Edge-informed SR)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononMSU Video Upscalers: Quality Enhancement
PSNR· 2016-09-16
26.25
best: 31.28 (VEAI-AHQ-12)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononMSU Video Upscalers: Quality Enhancement
SSIM· 2016-09-16
0.926
best: 0.939 (iSeeBetter)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononMSU Video Upscalers: Quality Enhancement
VMAF· 2016-09-16
47.19
best: 61.2 (TecoGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Object Super-ResolutiononVid4 - 4x upscaling
MOVIE· 2016-09-16
6.54
best: 9.31 (bicubic)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
QRCRv1.0
0
best: 0.722 (VRT)
VideoonMSU Video Super Resolution Benchmark: Detail Restoration
QRCRv1.0
0
best: 0.722 (VRT)
Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
QRCRv1.0
0
best: 0.722 (VRT)
Video Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
QRCRv1.0
0
best: 0.722 (VRT)
3D Object Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
QRCRv1.0
0
best: 0.722 (VRT)

Knowledge Base30 results

2D Human Pose EstimationonUltra Video Group HD - 4x upscaling
Average PSNR· 2016-09-16
37.91
best: 48.23 (RAMS (ours))
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
2D Human Pose EstimationonXiph HD - 4x upscaling
Average PSNR· 2016-09-16
31.67
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
2D Human Pose EstimationonVid4 - 4x upscaling
PSNR· 2016-09-16
25.06
best: 31.36 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
2D Human Pose EstimationonVid4 - 4x upscaling
SSIM· 2016-09-16
0.7394
best: 0.933 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
2D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
1 - LPIPS· 2016-09-16
0.765
best: 0.623 (DFDnet)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
2D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
ERQAv1.0· 2016-09-16
0.521
best: 0.758 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
2D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
FPS· 2016-09-16
3.333
best: 5.882 (SRMD)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
2D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
PSNR· 2016-09-16
26.714
best: 31.669 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
2D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
SSIM· 2016-09-16
0.811
best: 0.902 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
2D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
Subjective score· 2016-09-16
2.099
best: 7.628 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Absolute Human Pose EstimationonUltra Video Group HD - 4x upscaling
Average PSNR· 2016-09-16
37.91
best: 48.23 (RAMS (ours))
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Absolute Human Pose EstimationonXiph HD - 4x upscaling
Average PSNR· 2016-09-16
31.67
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Absolute Human Pose EstimationonVid4 - 4x upscaling
PSNR· 2016-09-16
25.06
best: 31.36 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Absolute Human Pose EstimationonVid4 - 4x upscaling
SSIM· 2016-09-16
0.7394
best: 0.933 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Absolute Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
1 - LPIPS· 2016-09-16
0.765
best: 0.623 (DFDnet)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Absolute Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
ERQAv1.0· 2016-09-16
0.521
best: 0.758 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Absolute Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
FPS· 2016-09-16
3.333
best: 5.882 (SRMD)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Absolute Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
PSNR· 2016-09-16
26.714
best: 31.669 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Absolute Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
SSIM· 2016-09-16
0.811
best: 0.902 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Absolute Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
Subjective score· 2016-09-16
2.099
best: 7.628 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
2D Human Pose EstimationonMSU Video Upscalers: Quality Enhancement
PSNR· 2016-09-16
26.25
best: 31.28 (VEAI-AHQ-12)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
2D Human Pose EstimationonMSU Video Upscalers: Quality Enhancement
SSIM· 2016-09-16
0.926
best: 0.939 (iSeeBetter)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
2D Human Pose EstimationonMSU Video Upscalers: Quality Enhancement
VMAF· 2016-09-16
47.19
best: 61.2 (TecoGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
2D Human Pose EstimationonVid4 - 4x upscaling
MOVIE· 2016-09-16
6.54
best: 9.31 (bicubic)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Absolute Human Pose EstimationonMSU Video Upscalers: Quality Enhancement
PSNR· 2016-09-16
26.25
best: 31.28 (VEAI-AHQ-12)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Absolute Human Pose EstimationonMSU Video Upscalers: Quality Enhancement
SSIM· 2016-09-16
0.926
best: 0.939 (iSeeBetter)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Absolute Human Pose EstimationonMSU Video Upscalers: Quality Enhancement
VMAF· 2016-09-16
47.19
best: 61.2 (TecoGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Absolute Human Pose EstimationonVid4 - 4x upscaling
MOVIE· 2016-09-16
6.54
best: 9.31 (bicubic)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
2D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
QRCRv1.0
0
best: 0.722 (VRT)
3D Absolute Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
QRCRv1.0
0
best: 0.722 (VRT)

Graphs21 results

Super-ResolutiononUltra Video Group HD - 4x upscaling
Average PSNR· 2016-09-16
37.91
best: 48.23 (RAMS (ours))
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononXiph HD - 4x upscaling
Average PSNR· 2016-09-16
31.67
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononVid4 - 4x upscaling
PSNR· 2016-09-16
25.06
best: 31.36 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononVid4 - 4x upscaling
SSIM· 2016-09-16
0.7394
best: 0.933 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
1 - LPIPS· 2016-09-16
0.765
best: 0.623 (DFDnet)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
ERQAv1.0· 2016-09-16
0.521
best: 0.758 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
FPS· 2016-09-16
3.333
best: 5.882 (SRMD)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
PSNR· 2016-09-16
26.714
best: 31.669 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
SSIM· 2016-09-16
0.811
best: 0.902 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
Subjective score· 2016-09-16
2.099
best: 7.628 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononSet14 - 4x upscaling
MOS· 2016-09-16
2.52
best: 3.72 (SRGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononSet14 - 4x upscaling
PSNR· 2016-09-16
27.66
best: 29.54 (DRCT-L)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononSet14 - 4x upscaling
SSIM· 2016-09-16
0.8004
best: 0.894 (Edge-informed SR)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononBSD100 - 4x upscaling
MOS· 2016-09-16
2.01
best: 3.56 (SRGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononBSD100 - 4x upscaling
PSNR· 2016-09-16
27.02
best: 28.16 (DRCT-L)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononBSD100 - 4x upscaling
SSIM· 2016-09-16
0.7442
best: 0.851 (Edge-informed SR)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononMSU Video Upscalers: Quality Enhancement
PSNR· 2016-09-16
26.25
best: 31.28 (VEAI-AHQ-12)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononMSU Video Upscalers: Quality Enhancement
SSIM· 2016-09-16
0.926
best: 0.939 (iSeeBetter)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononMSU Video Upscalers: Quality Enhancement
VMAF· 2016-09-16
47.19
best: 61.2 (TecoGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononVid4 - 4x upscaling
MOVIE· 2016-09-16
6.54
best: 9.31 (bicubic)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
QRCRv1.0
0
best: 0.722 (VRT)

Methodology21 results

3DonUltra Video Group HD - 4x upscaling
Average PSNR· 2016-09-16
37.91
best: 48.23 (RAMS (ours))
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3DonXiph HD - 4x upscaling
Average PSNR· 2016-09-16
31.67
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3DonVid4 - 4x upscaling
PSNR· 2016-09-16
25.06
best: 31.36 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3DonVid4 - 4x upscaling
SSIM· 2016-09-16
0.7394
best: 0.933 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3DonMSU Video Super Resolution Benchmark: Detail Restoration
1 - LPIPS· 2016-09-16
0.765
best: 0.623 (DFDnet)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3DonMSU Video Super Resolution Benchmark: Detail Restoration
ERQAv1.0· 2016-09-16
0.521
best: 0.758 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3DonMSU Video Super Resolution Benchmark: Detail Restoration
FPS· 2016-09-16
3.333
best: 5.882 (SRMD)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3DonMSU Video Super Resolution Benchmark: Detail Restoration
PSNR· 2016-09-16
26.714
best: 31.669 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3DonMSU Video Super Resolution Benchmark: Detail Restoration
SSIM· 2016-09-16
0.811
best: 0.902 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3DonMSU Video Super Resolution Benchmark: Detail Restoration
Subjective score· 2016-09-16
2.099
best: 7.628 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3DonMSU Video Upscalers: Quality Enhancement
PSNR· 2016-09-16
26.25
best: 31.28 (VEAI-AHQ-12)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3DonMSU Video Upscalers: Quality Enhancement
SSIM· 2016-09-16
0.926
best: 0.939 (iSeeBetter)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3DonMSU Video Upscalers: Quality Enhancement
VMAF· 2016-09-16
47.19
best: 61.2 (TecoGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3DonVid4 - 4x upscaling
MOVIE· 2016-09-16
6.54
best: 9.31 (bicubic)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
16konSet14 - 4x upscaling
MOS· 2016-09-16
2.52
best: 3.72 (SRGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
16konSet14 - 4x upscaling
PSNR· 2016-09-16
27.66
best: 29.54 (DRCT-L)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
16konSet14 - 4x upscaling
SSIM· 2016-09-16
0.8004
best: 0.894 (Edge-informed SR)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
16konBSD100 - 4x upscaling
MOS· 2016-09-16
2.01
best: 3.56 (SRGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
16konBSD100 - 4x upscaling
PSNR· 2016-09-16
27.02
best: 28.16 (DRCT-L)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
16konBSD100 - 4x upscaling
SSIM· 2016-09-16
0.7442
best: 0.851 (Edge-informed SR)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3DonMSU Video Super Resolution Benchmark: Detail Restoration
QRCRv1.0
0
best: 0.722 (VRT)

Playing Games15 results

3D Face AnimationonUltra Video Group HD - 4x upscaling
Average PSNR· 2016-09-16
37.91
best: 48.23 (RAMS (ours))
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Face AnimationonXiph HD - 4x upscaling
Average PSNR· 2016-09-16
31.67
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Face AnimationonVid4 - 4x upscaling
PSNR· 2016-09-16
25.06
best: 31.36 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Face AnimationonVid4 - 4x upscaling
SSIM· 2016-09-16
0.7394
best: 0.933 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Face AnimationonMSU Video Super Resolution Benchmark: Detail Restoration
1 - LPIPS· 2016-09-16
0.765
best: 0.623 (DFDnet)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Face AnimationonMSU Video Super Resolution Benchmark: Detail Restoration
ERQAv1.0· 2016-09-16
0.521
best: 0.758 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Face AnimationonMSU Video Super Resolution Benchmark: Detail Restoration
FPS· 2016-09-16
3.333
best: 5.882 (SRMD)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Face AnimationonMSU Video Super Resolution Benchmark: Detail Restoration
PSNR· 2016-09-16
26.714
best: 31.669 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Face AnimationonMSU Video Super Resolution Benchmark: Detail Restoration
SSIM· 2016-09-16
0.811
best: 0.902 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Face AnimationonMSU Video Super Resolution Benchmark: Detail Restoration
Subjective score· 2016-09-16
2.099
best: 7.628 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Face AnimationonMSU Video Upscalers: Quality Enhancement
PSNR· 2016-09-16
26.25
best: 31.28 (VEAI-AHQ-12)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Face AnimationonMSU Video Upscalers: Quality Enhancement
SSIM· 2016-09-16
0.926
best: 0.939 (iSeeBetter)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Face AnimationonMSU Video Upscalers: Quality Enhancement
VMAF· 2016-09-16
47.19
best: 61.2 (TecoGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Face AnimationonVid4 - 4x upscaling
MOVIE· 2016-09-16
6.54
best: 9.31 (bicubic)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
3D Face AnimationonMSU Video Super Resolution Benchmark: Detail Restoration
QRCRv1.0
0
best: 0.722 (VRT)

Audio15 results

1 Image, 2*2 StitchionUltra Video Group HD - 4x upscaling
Average PSNR· 2016-09-16
37.91
best: 48.23 (RAMS (ours))
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
1 Image, 2*2 StitchionXiph HD - 4x upscaling
Average PSNR· 2016-09-16
31.67
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
1 Image, 2*2 StitchionVid4 - 4x upscaling
PSNR· 2016-09-16
25.06
best: 31.36 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
1 Image, 2*2 StitchionVid4 - 4x upscaling
SSIM· 2016-09-16
0.7394
best: 0.933 (NeuriCam-net)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
1 Image, 2*2 StitchionMSU Video Super Resolution Benchmark: Detail Restoration
1 - LPIPS· 2016-09-16
0.765
best: 0.623 (DFDnet)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
1 Image, 2*2 StitchionMSU Video Super Resolution Benchmark: Detail Restoration
ERQAv1.0· 2016-09-16
0.521
best: 0.758 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
1 Image, 2*2 StitchionMSU Video Super Resolution Benchmark: Detail Restoration
FPS· 2016-09-16
3.333
best: 5.882 (SRMD)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
1 Image, 2*2 StitchionMSU Video Super Resolution Benchmark: Detail Restoration
PSNR· 2016-09-16
26.714
best: 31.669 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
1 Image, 2*2 StitchionMSU Video Super Resolution Benchmark: Detail Restoration
SSIM· 2016-09-16
0.811
best: 0.902 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
1 Image, 2*2 StitchionMSU Video Super Resolution Benchmark: Detail Restoration
Subjective score· 2016-09-16
2.099
best: 7.628 (VRT)
SOTA
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
1 Image, 2*2 StitchionMSU Video Upscalers: Quality Enhancement
PSNR· 2016-09-16
26.25
best: 31.28 (VEAI-AHQ-12)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
1 Image, 2*2 StitchionMSU Video Upscalers: Quality Enhancement
SSIM· 2016-09-16
0.926
best: 0.939 (iSeeBetter)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
1 Image, 2*2 StitchionMSU Video Upscalers: Quality Enhancement
VMAF· 2016-09-16
47.19
best: 61.2 (TecoGAN)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
1 Image, 2*2 StitchionVid4 - 4x upscaling
MOVIE· 2016-09-16
6.54
best: 9.31 (bicubic)
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network arXiv:1609.05158
1 Image, 2*2 StitchionMSU Video Super Resolution Benchmark: Detail Restoration
QRCRv1.0
0
best: 0.722 (VRT)

Miscellaneous3 results

Fine-Grained Urban Flow InferenceonTaxiBJ-P1
MAE· 2019-02-06
2.497
best: 2.011 (UrbanFM)
SOTA
UrbanFM: Inferring Fine-Grained Urban Flows arXiv:1902.05377
Fine-Grained Urban Flow InferenceonTaxiBJ-P1
MAPE· 2019-02-06
0.732
SOTA
UrbanFM: Inferring Fine-Grained Urban Flows arXiv:1902.05377
Fine-Grained Urban Flow InferenceonTaxiBJ-P1
MSE· 2019-02-06
17.6904
best: 14.9232 (STCF)
SOTA
UrbanFM: Inferring Fine-Grained Urban Flows arXiv:1902.05377