Real-time Video Prediction With Fast Video Interpolation Model and Prediction Training

• URL: http://arxiv.org/abs/2503.23185v2
• Date: Fri, 04 Apr 2025 14:29:20 GMT
• Title: Real-time Video Prediction With Fast Video Interpolation Model and Prediction Training
• Authors: Shota Hirose, Kazuki Kotoyori, Kasidis Arunruangsirilert, Fangzheng Lin, Heming Sun, Jiro Katto,
• Abstract summary: We propose real-time video prediction towards the zero-latency interaction over networks, called IFRVP.<n>We introduce ELAN-based residual blocks into the prediction models to improve both inference speed and accuracy.<n>Our evaluations show that our proposed models perform efficiently and achieve the best trade-off between prediction accuracy and computational speed.
• Score: 9.225628670664596
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Transmission latency significantly affects users' quality of experience in real-time interaction and actuation. As latency is principally inevitable, video prediction can be utilized to mitigate the latency and ultimately enable zero-latency transmission. However, most of the existing video prediction methods are computationally expensive and impractical for real-time applications. In this work, we therefore propose real-time video prediction towards the zero-latency interaction over networks, called IFRVP (Intermediate Feature Refinement Video Prediction). Firstly, we propose three training methods for video prediction that extend frame interpolation models, where we utilize a simple convolution-only frame interpolation network based on IFRNet. Secondly, we introduce ELAN-based residual blocks into the prediction models to improve both inference speed and accuracy. Our evaluations show that our proposed models perform efficiently and achieve the best trade-off between prediction accuracy and computational speed among the existing video prediction methods. A demonstration movie is also provided at http://bit.ly/IFRVPDemo. The code will be released at https://github.com/FykAikawa/IFRVP.

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