MSU Graphics & Media Lab Video Group
2019–2022
MSU Challenges
News
- 07.05.2024 [AIM] Super-Resolution Quality Metrics Challenge announced.
Future Challenges
Super-Resolution Quality Metrics Challenge
Conference: ECCV
Organizers: Artem Borisov, Ivan Molodetskikh
Video and Image Super-resolution (SR) has garnered extensive research in recent years, with new articles appearing monthly.
However, as comparison of known image/video quality metrics shows, the task of Super-Resolution Quality Assessment
is different from the task of simple Image and Video Quality Assessment.
Therefore, competition of metrics oriented specifically to Super-Resolution is necessary.
Everyone is welcome to participate!
Key features
- Large Super-Resolution Quality Assessment dataset covering many major Video Super-Resolution use cases
- Evaluating metrics on three subsets: Easy, Moderate and Hard
- The score on the hidden part of the test set will not be shown until the end of the challenge
Site structure
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MSU Benchmark Collection
- Video Colorization Benchmark
- Defenses for Image Quality Metrics Benchmark
- Learning-Based Image Compression Benchmark
- Super-Resolution Quality Metrics Benchmark
- Video Saliency Prediction Benchmark
- Super-Resolution for Video Compression 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