MSU Video super-resolution Dataset
MSU Video Super Resolution Benchmark is a dataset for video super-resolution tasks. The dataset contains the most complex content in detail restoration tasks: faces, text, QR codes, license plates, textures without displayed patterns, small details. The videos include different types of motion and different types of degradation: bicubic interpolation (BI), Gaussian blur and downsampling (BD). The resolution of all input video sequences is 480×320.
MSU.torrent
Seeding 3Downloading 0Completed 763Total Downloads 729
Build AI with AI
From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.
AI Co-coding
Ready-to-use GPUs
Best Pricing
Hyper Newsletters
Subscribe to our latest updates
We will deliver the latest updates of the week to your inbox at nine o'clock every Monday morning
Powered by MailChimp