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DTVNet+: A High-Resolution Scenic Dataset for Dynamic Time-lapse Video Generation
[article]
2021
arXiv
pre-print
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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 conditioned on normalized motion ...
The proposed DTVNet consists of two submodules: Optical Flow Encoder (OFE) and Dynamic Video Generator (DVG). ...
METHOD In this paper, a novel end-to-end dynamic time-lapse video generation framework named DTVNet is proposed to generate diversified time-lapse videos from a single landscape image. ...
arXiv:2008.04776v2
fatcat:z3efsr5ga5btlf3cfwnvqiuzsa
A Good Image Generator Is What You Need for High-Resolution Video Synthesis
[article]
2021
arXiv
pre-print
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Image and video synthesis are closely related areas aiming at generating content from noise. ...
We present a framework that leverages contemporary image generators to render high-resolution videos. ...
We compare our method with DTVNet on the video prediction task. The testing set of Sky Time-lapse dataset includes 2, 815 short video clips. ...
arXiv:2104.15069v1
fatcat:f3m3izfjhncr3e4dncysd7v4oq
Stochastic Image-to-Video Synthesis using cINNs
[article]
2021
arXiv
pre-print
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In contrast to common stochastic image-to-video synthesis, such a model does not merely generate arbitrary videos progressing the initial image. ...
Video understanding calls for a model to learn the characteristic interplay between static scene content and its dynamics: Given an image, the model must be able to predict a future progression of the ...
Landscape [87] consists of ∼ 3000 time-lapse videos of dynamic sky scenes, e.g., cloudy skies and night scenes with moving stars. ...
arXiv:2105.04551v2
fatcat:sye4z4og6vfghardh3edxsc7pi