DTVNet: Dynamic Time-lapse Video Generation via Single Still Image

ECCV 2020 Jiangning ZhangChao XuLiang LiuMengmeng WangXia WuYong LiuYunliang Jiang

This paper presents a novel end-to-end dynamic time-lapse video generation framework, named DTVNet, to generate diversified time-lapse videos from a single landscape image, which are conditioned on normalized motion vectors. The proposed DTVNet consists of two submodules: \emph{Optical Flow Encoder} (OFE) and \emph{Dynamic Video Generator} (DVG)... (read more)

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