Key-Frame-based Video Super-Resolution (K = 15)
1 papers with code • 2 benchmarks • 1 datasets
Key-Frame-based Video Super-Resolution is a sub-task of Video Super-Resolution, where, in addition to the low-resolution frames, high-resolution ground-truth frames for every Kth input frame are also provided as inputs to the model. For example, if [LR-frame-1, LR-frame-2, LR-frame-3, ..., LR-frame-100] is the sequence of low-resolution frames to be upscaled, the Key-Frame-based Video Super-Resolution (K = 15) model is also provided with the high-resolution frames [HR-frame-1, HR-frame-16, ..., HR-frame-91] . Key-frames are excluded when measuring the evaluation metrics.
Benchmarks
These leaderboards are used to track progress in Key-Frame-based Video Super-Resolution (K = 15)
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Vid4
Most implemented papers
NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras
vb000/neuricam
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Our idea is to design a dual-mode camera system where the first mode is low-power (1. 1 mW) but only outputs grey-scale, low resolution, and noisy video and the second mode consumes much higher power (100 mW) but outputs color and higher resolution images.
