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Mar, 2021
MotionRNN:基于时空变化运动的视频预测灵活模型
MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions
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Haixu Wu, Zhiyu Yao, Mingsheng Long, Jianmin Wan
TL;DR
该论文提出了一种基于MotionRNN框架的视频预测方法,使用MotionGRU单元以及Motion Highway,同时捕捉短时变化和运动趋势,适应不断变化的运动情况,在三项具有挑战性的基准测试中取得了显著的改进。
Abstract
This paper tackles
video prediction
from a new dimension of predicting spacetime-varying motions that are incessantly changing across both space and time. Prior methods mainly capture the temporal state transitions but overlook the complex
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