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Models/SOF-VSR-BI + vvenc

SOF-VSR-BI + vvenc

Reported on 66 benchmarks across 11 tasks · 1 paper · 11 SOTA

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

Computer Vision30 results

3D Human Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over ERQA· 2020-01-06
18.844
best: 21.965 (bicubic + aomenc)
SOTA
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
VideoonMSU Super-Resolution for Video Compression
BSQ-rate over ERQA· 2020-01-06
18.844
best: 21.965 (bicubic + aomenc)
SOTA
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over ERQA· 2020-01-06
18.844
best: 21.965 (bicubic + aomenc)
SOTA
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
Video Super-ResolutiononMSU Super-Resolution for Video Compression
BSQ-rate over ERQA· 2020-01-06
18.844
best: 21.965 (bicubic + aomenc)
SOTA
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Object Super-ResolutiononMSU Super-Resolution for Video Compression
BSQ-rate over ERQA· 2020-01-06
18.844
best: 21.965 (bicubic + aomenc)
SOTA
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Human Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over LPIPS· 2020-01-06
11.273
best: 0.559 (SwinIR + x264)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Human Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over MS-SSIM· 2020-01-06
4.882
best: 11.643 (EGVSR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Human Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over PSNR· 2020-01-06
9.245
best: 15.144 (SwinIR + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Human Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over Subjective Score· 2020-01-06
2.822
best: 3.196 (SOF-VSR-BI + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Human Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over VMAF· 2020-01-06
4.527
best: 10.67 (COMISR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
VideoonMSU Super-Resolution for Video Compression
BSQ-rate over LPIPS· 2020-01-06
11.273
best: 0.559 (SwinIR + x264)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
VideoonMSU Super-Resolution for Video Compression
BSQ-rate over MS-SSIM· 2020-01-06
4.882
best: 11.643 (EGVSR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
VideoonMSU Super-Resolution for Video Compression
BSQ-rate over PSNR· 2020-01-06
9.245
best: 15.144 (SwinIR + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
VideoonMSU Super-Resolution for Video Compression
BSQ-rate over Subjective Score· 2020-01-06
2.822
best: 3.196 (SOF-VSR-BI + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
VideoonMSU Super-Resolution for Video Compression
BSQ-rate over VMAF· 2020-01-06
4.527
best: 10.67 (COMISR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over LPIPS· 2020-01-06
11.273
best: 0.559 (SwinIR + x264)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over MS-SSIM· 2020-01-06
4.882
best: 11.643 (EGVSR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over PSNR· 2020-01-06
9.245
best: 15.144 (SwinIR + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over Subjective Score· 2020-01-06
2.822
best: 3.196 (SOF-VSR-BI + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over VMAF· 2020-01-06
4.527
best: 10.67 (COMISR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
Video Super-ResolutiononMSU Super-Resolution for Video Compression
BSQ-rate over LPIPS· 2020-01-06
11.273
best: 0.559 (SwinIR + x264)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
Video Super-ResolutiononMSU Super-Resolution for Video Compression
BSQ-rate over MS-SSIM· 2020-01-06
4.882
best: 11.643 (EGVSR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
Video Super-ResolutiononMSU Super-Resolution for Video Compression
BSQ-rate over PSNR· 2020-01-06
9.245
best: 15.144 (SwinIR + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
Video Super-ResolutiononMSU Super-Resolution for Video Compression
BSQ-rate over Subjective Score· 2020-01-06
2.822
best: 3.196 (SOF-VSR-BI + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
Video Super-ResolutiononMSU Super-Resolution for Video Compression
BSQ-rate over VMAF· 2020-01-06
4.527
best: 10.67 (COMISR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Object Super-ResolutiononMSU Super-Resolution for Video Compression
BSQ-rate over LPIPS· 2020-01-06
11.273
best: 0.559 (SwinIR + x264)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Object Super-ResolutiononMSU Super-Resolution for Video Compression
BSQ-rate over MS-SSIM· 2020-01-06
4.882
best: 11.643 (EGVSR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Object Super-ResolutiononMSU Super-Resolution for Video Compression
BSQ-rate over PSNR· 2020-01-06
9.245
best: 15.144 (SwinIR + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Object Super-ResolutiononMSU Super-Resolution for Video Compression
BSQ-rate over Subjective Score· 2020-01-06
2.822
best: 3.196 (SOF-VSR-BI + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Object Super-ResolutiononMSU Super-Resolution for Video Compression
BSQ-rate over VMAF· 2020-01-06
4.527
best: 10.67 (COMISR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129

Knowledge Base12 results

2D Human Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over ERQA· 2020-01-06
18.844
best: 21.965 (bicubic + aomenc)
SOTA
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Absolute Human Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over ERQA· 2020-01-06
18.844
best: 21.965 (bicubic + aomenc)
SOTA
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
2D Human Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over LPIPS· 2020-01-06
11.273
best: 0.559 (SwinIR + x264)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
2D Human Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over MS-SSIM· 2020-01-06
4.882
best: 11.643 (EGVSR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
2D Human Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over PSNR· 2020-01-06
9.245
best: 15.144 (SwinIR + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
2D Human Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over Subjective Score· 2020-01-06
2.822
best: 3.196 (SOF-VSR-BI + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
2D Human Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over VMAF· 2020-01-06
4.527
best: 10.67 (COMISR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Absolute Human Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over LPIPS· 2020-01-06
11.273
best: 0.559 (SwinIR + x264)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Absolute Human Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over MS-SSIM· 2020-01-06
4.882
best: 11.643 (EGVSR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Absolute Human Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over PSNR· 2020-01-06
9.245
best: 15.144 (SwinIR + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Absolute Human Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over Subjective Score· 2020-01-06
2.822
best: 3.196 (SOF-VSR-BI + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Absolute Human Pose EstimationonMSU Super-Resolution for Video Compression
BSQ-rate over VMAF· 2020-01-06
4.527
best: 10.67 (COMISR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129

Graphs6 results

Super-ResolutiononMSU Super-Resolution for Video Compression
BSQ-rate over ERQA· 2020-01-06
18.844
best: 21.965 (bicubic + aomenc)
SOTA
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
Super-ResolutiononMSU Super-Resolution for Video Compression
BSQ-rate over LPIPS· 2020-01-06
11.273
best: 0.559 (SwinIR + x264)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
Super-ResolutiononMSU Super-Resolution for Video Compression
BSQ-rate over MS-SSIM· 2020-01-06
4.882
best: 11.643 (EGVSR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
Super-ResolutiononMSU Super-Resolution for Video Compression
BSQ-rate over PSNR· 2020-01-06
9.245
best: 15.144 (SwinIR + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
Super-ResolutiononMSU Super-Resolution for Video Compression
BSQ-rate over Subjective Score· 2020-01-06
2.822
best: 3.196 (SOF-VSR-BI + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
Super-ResolutiononMSU Super-Resolution for Video Compression
BSQ-rate over VMAF· 2020-01-06
4.527
best: 10.67 (COMISR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129

Methodology6 results

3DonMSU Super-Resolution for Video Compression
BSQ-rate over ERQA· 2020-01-06
18.844
best: 21.965 (bicubic + aomenc)
SOTA
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3DonMSU Super-Resolution for Video Compression
BSQ-rate over LPIPS· 2020-01-06
11.273
best: 0.559 (SwinIR + x264)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3DonMSU Super-Resolution for Video Compression
BSQ-rate over MS-SSIM· 2020-01-06
4.882
best: 11.643 (EGVSR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3DonMSU Super-Resolution for Video Compression
BSQ-rate over PSNR· 2020-01-06
9.245
best: 15.144 (SwinIR + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3DonMSU Super-Resolution for Video Compression
BSQ-rate over Subjective Score· 2020-01-06
2.822
best: 3.196 (SOF-VSR-BI + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3DonMSU Super-Resolution for Video Compression
BSQ-rate over VMAF· 2020-01-06
4.527
best: 10.67 (COMISR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129

Playing Games6 results

3D Face AnimationonMSU Super-Resolution for Video Compression
BSQ-rate over ERQA· 2020-01-06
18.844
best: 21.965 (bicubic + aomenc)
SOTA
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Face AnimationonMSU Super-Resolution for Video Compression
BSQ-rate over LPIPS· 2020-01-06
11.273
best: 0.559 (SwinIR + x264)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Face AnimationonMSU Super-Resolution for Video Compression
BSQ-rate over MS-SSIM· 2020-01-06
4.882
best: 11.643 (EGVSR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Face AnimationonMSU Super-Resolution for Video Compression
BSQ-rate over PSNR· 2020-01-06
9.245
best: 15.144 (SwinIR + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Face AnimationonMSU Super-Resolution for Video Compression
BSQ-rate over Subjective Score· 2020-01-06
2.822
best: 3.196 (SOF-VSR-BI + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
3D Face AnimationonMSU Super-Resolution for Video Compression
BSQ-rate over VMAF· 2020-01-06
4.527
best: 10.67 (COMISR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129

Audio6 results

1 Image, 2*2 StitchionMSU Super-Resolution for Video Compression
BSQ-rate over ERQA· 2020-01-06
18.844
best: 21.965 (bicubic + aomenc)
SOTA
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
1 Image, 2*2 StitchionMSU Super-Resolution for Video Compression
BSQ-rate over LPIPS· 2020-01-06
11.273
best: 0.559 (SwinIR + x264)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
1 Image, 2*2 StitchionMSU Super-Resolution for Video Compression
BSQ-rate over MS-SSIM· 2020-01-06
4.882
best: 11.643 (EGVSR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
1 Image, 2*2 StitchionMSU Super-Resolution for Video Compression
BSQ-rate over PSNR· 2020-01-06
9.245
best: 15.144 (SwinIR + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
1 Image, 2*2 StitchionMSU Super-Resolution for Video Compression
BSQ-rate over Subjective Score· 2020-01-06
2.822
best: 3.196 (SOF-VSR-BI + uavs3e)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129
1 Image, 2*2 StitchionMSU Super-Resolution for Video Compression
BSQ-rate over VMAF· 2020-01-06
4.527
best: 10.67 (COMISR + aomenc)
Deep Video Super-Resolution using HR Optical Flow Estimation arXiv:2001.02129