English(EN) ST-GRU PredRNN-V2: A GRU-Based Reformulation of PredRNN-V2 for Video Prediction

新的ST-GRU单元简化了用于视频预测的PredRNN-V2

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

研究人员开发了一种新的时空门控循环单元（ST-GRU），作为PredRNN-V2中使用的时空长短期记忆（ST-LSTM）单元的替代品。该ST-GRU单元通过使用两个GRU风格的门代替三个ST-LSTM门并将时间记忆状态合并到隐藏状态中，从而简化了循环单元，参数减少了约5%。当集成到PredRNN-V2并在一系列视频预测任务上进行测试时，基于ST-GRU的模型取得了有竞争力的结果，包括更低的LPIPS分数，表明其作为时空预测学习构建模块的潜力。 AI

影响为时空预测任务引入了一种参数效率更高的循环单元。

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Augusta van Haren, Hanna Hoogen, Luca Pattavina, Quincy Rommen · 2026-10-15 04:00

ST-GRU PredRNN-V2：基于GRU的PredRNN-V2视频预测重构

arXiv:2610.18645v1 Announce Type: cross Abstract: Video prediction requires models to capture complex spatiotemporal dependencies and to retain relevant information over long sequences. PredRNN and its successor PredRNN-V2 address this challenge with spatiotemporal Long Short-Ter…

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ST-GRU PredRNN-V2：基于GRU的PredRNN-V2视频预测重构

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