Participants of the MSU Video Quality Metrics Benchmark
Specifics of metrics launching
- FAST-VQA, FasterVQA, DOVER were run 10 times with different seeds (frames selection). They are presented in 2 versions: 1) averaging correlations over all runs; and 2) averaging metrics output over all runs, followed by single calculation of correlations (marked as “averaged scores”).
See Also
PSNR and SSIM: application areas and criticism
Learn about limits and applicability of the most popular metrics
Super-Resolution for Video Compression Benchmark
Learn about the best SR methods for compressed videos and choose the best model to use with your codec
Video Colorization Benchmark
Explore the best video colorization algorithms
Defenses for Image Quality Metrics Benchmark
Explore defenses from adv attacks
Learning-Based Image Compression Benchmark
The First extensive comparison of Learned Image Compression algorithms
Super-Resolution Quality Metrics Benchmark
Discover 66 Super-Resolution Quality Metrics and choose the most appropriate for your videos
Site structure
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MSU Benchmark Collection
- Super-Resolution for Video Compression Benchmark
- Video Colorization Benchmark
- Defenses for Image Quality Metrics Benchmark
- Learning-Based Image Compression Benchmark
- Super-Resolution Quality Metrics Benchmark
- Video Saliency Prediction Benchmark
- Metrics Robustness Benchmark
- Video Upscalers Benchmark
- Video Deblurring Benchmark
- Video Frame Interpolation Benchmark
- HDR Video Reconstruction Benchmark
- No-Reference Video Quality Metrics Benchmark
- Full-Reference Video Quality Metrics Benchmark
- Video Alignment and Retrieval Benchmark
- Mobile Video Codecs Benchmark
- Video Super-Resolution Benchmark
- Shot Boundary Detection Benchmark
- The VideoMatting Project
- Video Completion
- Codecs Comparisons & Optimization
- VQMT
- MSU Datasets Collection
- Metrics Research
- Video Quality Measurement Tool 3D
- Video Filters
- Other Projects