PLAUSIBLE DAYSCALE TIMELAPSE GENERATION METHOD AND COMPUTING DEVICE

PLAUSIBLE DAYSCALE TIMELAPSE GENERATION METHOD AND COMPUTING DEVICE

The disclosure relates to a field of plausible timelapse image(s) generation from a single image. A method of generating one or more images of a plausible dayscale timelapse sequence based on a content image using a trained generative neural network and a trained merging neural network is provided....

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Bibliographische Detailangaben
Hauptverfasser: ANOKHIN, Ivan Aleksandrovich, STERKIN, Gleb Mikhailovich, KORZHENKOV, Denis Mikhailovich, SILVESTROV, Aleksei Sergeevich, KHAKHULIN, Taras Andreevich, KHARLAMOV, Aleksei Vladislavovich, SOLOVEV, Pavel Ilich, NIKOLENKO, Sergey Igorevich, LEMPITSKY, Victor Sergeevich
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Beschreibung
Zusammenfassung:The disclosure relates to a field of plausible timelapse image(s) generation from a single image. A method of generating one or more images of a plausible dayscale timelapse sequence based on a content image using a trained generative neural network and a trained merging neural network is provided. The method includes receiving the content image and one of one or more predefined styles respectively corresponding to times of day to be applied to the content image or style images having styles to be applied to the content image, slicing the content image into n image crops, applying the trained generative neural network with each style to n image crops to obtain n image crops re-stylized according to each style, and merging the re-stylized n image crops for each style with the trained merging neural network to obtain images of a plausible dayscale timelapse sequence for the content image.