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Models/VDSR

VDSR

Reported on 68 benchmarks across 14 tasks · 2 papers · 34 SOTA

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

Computer Vision31 results

Image Super-ResolutiononWebFace - 8x upscaling
PSNR· 2015-11-14
23.65
best: 27.21 (GFRNet)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Image Super-ResolutiononIXI
PSNR 2x T2w· 2015-11-14
38.65
best: 40.43 (EDSR+MMHCA)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Image Super-ResolutiononIXI
PSNR 4x T2w· 2015-11-14
30.79
best: 32.7 (EDSR+MMHCA)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Image Super-ResolutiononIXI
SSIM 4x T2w· 2015-11-14
0.924
best: 0.9472 (SERAN)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Image Super-ResolutiononIXI
SSIM for 2x T2w· 2015-11-14
0.9836
best: 0.9877 (EDSR+MMHCA)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Image Super-ResolutiononVggFace2 - 8x upscaling
PSNR· 2015-11-14
22.5
best: 25.57 (Full-GWAInet)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Image Super-ResolutiononManga109 - 4x upscaling
PSNR· 2015-11-14
28.83
best: 33.19 (HMA†)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Image Super-ResolutiononManga109 - 4x upscaling
SSIM· 2015-11-14
0.887
best: 0.9366 (Hi-IR-L)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Object Super-ResolutiononWebFace - 8x upscaling
PSNR· 2015-11-14
23.65
best: 27.21 (GFRNet)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Object Super-ResolutiononIXI
PSNR 2x T2w· 2015-11-14
38.65
best: 40.43 (EDSR+MMHCA)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Object Super-ResolutiononIXI
PSNR 4x T2w· 2015-11-14
30.79
best: 32.7 (EDSR+MMHCA)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Object Super-ResolutiononIXI
SSIM 4x T2w· 2015-11-14
0.924
best: 0.9472 (SERAN)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Object Super-ResolutiononIXI
SSIM for 2x T2w· 2015-11-14
0.9836
best: 0.9877 (EDSR+MMHCA)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Object Super-ResolutiononVggFace2 - 8x upscaling
PSNR· 2015-11-14
22.5
best: 25.57 (Full-GWAInet)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Object Super-ResolutiononManga109 - 4x upscaling
PSNR· 2015-11-14
28.83
best: 33.19 (HMA†)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Object Super-ResolutiononManga109 - 4x upscaling
SSIM· 2015-11-14
0.887
best: 0.9366 (Hi-IR-L)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Human Pose EstimationonMSU Video Upscalers: Quality Enhancement
PSNR· 2015-11-14
25.89
best: 31.28 (VEAI-AHQ-12)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Human Pose EstimationonMSU Video Upscalers: Quality Enhancement
SSIM· 2015-11-14
0.917
best: 0.939 (iSeeBetter)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Human Pose EstimationonMSU Video Upscalers: Quality Enhancement
VMAF· 2015-11-14
36.46
best: 61.2 (TecoGAN)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
VideoonMSU Video Upscalers: Quality Enhancement
PSNR· 2015-11-14
25.89
best: 31.28 (VEAI-AHQ-12)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
VideoonMSU Video Upscalers: Quality Enhancement
SSIM· 2015-11-14
0.917
best: 0.939 (iSeeBetter)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
VideoonMSU Video Upscalers: Quality Enhancement
VMAF· 2015-11-14
36.46
best: 61.2 (TecoGAN)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Pose EstimationonMSU Video Upscalers: Quality Enhancement
PSNR· 2015-11-14
25.89
best: 31.28 (VEAI-AHQ-12)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Pose EstimationonMSU Video Upscalers: Quality Enhancement
SSIM· 2015-11-14
0.917
best: 0.939 (iSeeBetter)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Pose EstimationonMSU Video Upscalers: Quality Enhancement
VMAF· 2015-11-14
36.46
best: 61.2 (TecoGAN)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Video Super-ResolutiononMSU Video Upscalers: Quality Enhancement
PSNR· 2015-11-14
25.89
best: 31.28 (VEAI-AHQ-12)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Video Super-ResolutiononMSU Video Upscalers: Quality Enhancement
SSIM· 2015-11-14
0.917
best: 0.939 (iSeeBetter)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Video Super-ResolutiononMSU Video Upscalers: Quality Enhancement
VMAF· 2015-11-14
36.46
best: 61.2 (TecoGAN)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Object Super-ResolutiononMSU Video Upscalers: Quality Enhancement
PSNR· 2015-11-14
25.89
best: 31.28 (VEAI-AHQ-12)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Object Super-ResolutiononMSU Video Upscalers: Quality Enhancement
SSIM· 2015-11-14
0.917
best: 0.939 (iSeeBetter)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Object Super-ResolutiononMSU Video Upscalers: Quality Enhancement
VMAF· 2015-11-14
36.46
best: 61.2 (TecoGAN)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587

Graphs11 results

Super-ResolutiononWebFace - 8x upscaling
PSNR· 2015-11-14
23.65
best: 27.21 (GFRNet)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Super-ResolutiononIXI
PSNR 2x T2w· 2015-11-14
38.65
best: 40.43 (EDSR+MMHCA)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Super-ResolutiononIXI
PSNR 4x T2w· 2015-11-14
30.79
best: 32.7 (EDSR+MMHCA)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Super-ResolutiononIXI
SSIM 4x T2w· 2015-11-14
0.924
best: 0.9472 (SERAN)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Super-ResolutiononIXI
SSIM for 2x T2w· 2015-11-14
0.9836
best: 0.9877 (EDSR+MMHCA)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Super-ResolutiononVggFace2 - 8x upscaling
PSNR· 2015-11-14
22.5
best: 25.57 (Full-GWAInet)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Super-ResolutiononManga109 - 4x upscaling
PSNR· 2015-11-14
28.83
best: 33.19 (HMA†)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Super-ResolutiononManga109 - 4x upscaling
SSIM· 2015-11-14
0.887
best: 0.9366 (Hi-IR-L)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Super-ResolutiononMSU Video Upscalers: Quality Enhancement
PSNR· 2015-11-14
25.89
best: 31.28 (VEAI-AHQ-12)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Super-ResolutiononMSU Video Upscalers: Quality Enhancement
SSIM· 2015-11-14
0.917
best: 0.939 (iSeeBetter)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
Super-ResolutiononMSU Video Upscalers: Quality Enhancement
VMAF· 2015-11-14
36.46
best: 61.2 (TecoGAN)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587

Methodology11 results

16konWebFace - 8x upscaling
PSNR· 2015-11-14
23.65
best: 27.21 (GFRNet)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
16konIXI
PSNR 2x T2w· 2015-11-14
38.65
best: 40.43 (EDSR+MMHCA)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
16konIXI
PSNR 4x T2w· 2015-11-14
30.79
best: 32.7 (EDSR+MMHCA)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
16konIXI
SSIM 4x T2w· 2015-11-14
0.924
best: 0.9472 (SERAN)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
16konIXI
SSIM for 2x T2w· 2015-11-14
0.9836
best: 0.9877 (EDSR+MMHCA)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
16konVggFace2 - 8x upscaling
PSNR· 2015-11-14
22.5
best: 25.57 (Full-GWAInet)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
16konManga109 - 4x upscaling
PSNR· 2015-11-14
28.83
best: 33.19 (HMA†)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
16konManga109 - 4x upscaling
SSIM· 2015-11-14
0.887
best: 0.9366 (Hi-IR-L)
SOTA
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3DonMSU Video Upscalers: Quality Enhancement
PSNR· 2015-11-14
25.89
best: 31.28 (VEAI-AHQ-12)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3DonMSU Video Upscalers: Quality Enhancement
SSIM· 2015-11-14
0.917
best: 0.939 (iSeeBetter)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3DonMSU Video Upscalers: Quality Enhancement
VMAF· 2015-11-14
36.46
best: 61.2 (TecoGAN)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587

Knowledge Base6 results

2D Human Pose EstimationonMSU Video Upscalers: Quality Enhancement
PSNR· 2015-11-14
25.89
best: 31.28 (VEAI-AHQ-12)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
2D Human Pose EstimationonMSU Video Upscalers: Quality Enhancement
SSIM· 2015-11-14
0.917
best: 0.939 (iSeeBetter)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
2D Human Pose EstimationonMSU Video Upscalers: Quality Enhancement
VMAF· 2015-11-14
36.46
best: 61.2 (TecoGAN)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Absolute Human Pose EstimationonMSU Video Upscalers: Quality Enhancement
PSNR· 2015-11-14
25.89
best: 31.28 (VEAI-AHQ-12)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Absolute Human Pose EstimationonMSU Video Upscalers: Quality Enhancement
SSIM· 2015-11-14
0.917
best: 0.939 (iSeeBetter)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Absolute Human Pose EstimationonMSU Video Upscalers: Quality Enhancement
VMAF· 2015-11-14
36.46
best: 61.2 (TecoGAN)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587

Miscellaneous3 results

Fine-Grained Urban Flow InferenceonTaxiBJ-P1
MAE· 2019-02-06
2.213
best: 2.011 (UrbanFM)
SOTA
UrbanFM: Inferring Fine-Grained Urban Flows arXiv:1902.05377
Fine-Grained Urban Flow InferenceonTaxiBJ-P1
MSE· 2019-02-06
17.2972
best: 14.9232 (STCF)
SOTA
UrbanFM: Inferring Fine-Grained Urban Flows arXiv:1902.05377
Fine-Grained Urban Flow InferenceonTaxiBJ-P1
MAPE· 2019-02-06
0.467
best: 0.732 (ESPCN)
UrbanFM: Inferring Fine-Grained Urban Flows arXiv:1902.05377

Playing Games3 results

3D Face AnimationonMSU Video Upscalers: Quality Enhancement
PSNR· 2015-11-14
25.89
best: 31.28 (VEAI-AHQ-12)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Face AnimationonMSU Video Upscalers: Quality Enhancement
SSIM· 2015-11-14
0.917
best: 0.939 (iSeeBetter)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
3D Face AnimationonMSU Video Upscalers: Quality Enhancement
VMAF· 2015-11-14
36.46
best: 61.2 (TecoGAN)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587

Audio3 results

1 Image, 2*2 StitchionMSU Video Upscalers: Quality Enhancement
PSNR· 2015-11-14
25.89
best: 31.28 (VEAI-AHQ-12)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
1 Image, 2*2 StitchionMSU Video Upscalers: Quality Enhancement
SSIM· 2015-11-14
0.917
best: 0.939 (iSeeBetter)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587
1 Image, 2*2 StitchionMSU Video Upscalers: Quality Enhancement
VMAF· 2015-11-14
36.46
best: 61.2 (TecoGAN)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks arXiv:1511.04587