Unified Arbitrary-Time Video Frame Interpolation and Prediction

• URL: http://arxiv.org/abs/2503.02316v1
• Date: Tue, 04 Mar 2025 06:17:17 GMT
• Title: Unified Arbitrary-Time Video Frame Interpolation and Prediction
• Authors: Xin Jin, Longhai Wu, Jie Chen, Ilhyun Cho, Cheul-Hee Hahm,
• Abstract summary: Video frame and prediction aim to synthesize frames in-between and subsequent to existing frames, respectively.<n>While arbitrary-time has been extensively studied, the value of arbitrary-time prediction has been largely overlooked.<n>We present uniVIP - unified arbitrary-time Video Interpolation and Prediction.
• Score: 9.610711105923357
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Video frame interpolation and prediction aim to synthesize frames in-between and subsequent to existing frames, respectively. Despite being closely-related, these two tasks are traditionally studied with different model architectures, or same architecture but individually trained weights. Furthermore, while arbitrary-time interpolation has been extensively studied, the value of arbitrary-time prediction has been largely overlooked. In this work, we present uniVIP - unified arbitrary-time Video Interpolation and Prediction. Technically, we firstly extend an interpolation-only network for arbitrary-time interpolation and prediction, with a special input channel for task (interpolation or prediction) encoding. Then, we show how to train a unified model on common triplet frames. Our uniVIP provides competitive results for video interpolation, and outperforms existing state-of-the-arts for video prediction. Codes will be available at: https://github.com/srcn-ivl/uniVIP

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