Advances in display technology have made viewing content more immersive and enjoyable.
4K 60FPS video offers a more satisfying experience than 1080P 30FPS, but it is more expensive in terms of data.
Video frame interpolation is used to increase the resolution or frames within a video sequence, creating a more pleasant viewing experience.
Researchers have created a neural network to measure the quality of video interpolation results, which takes two frames as input and outputs a score representing their perceptual similarity.
The network is trained using a combination of L1 and SSIM objective metrics and a large video frame interpolation perceptual similarity dataset.
This method does not rely on reference frames and can be run on client devices.
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