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Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures

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Sync-DRAW: Automatic GIF Generation using Deep Recurrent Attentive Architectures

Tensorflow implementation for the paper Sync-DRAW: Automatic GIF Generation using Deep Recurrent Attentive Architectures by Gaurav Mittal*,Tanya Marwah* and Vineeth N. Balasubramanian accepted as an oral paper at ACM-Multimedia 2017 (*Equal Contribution).

Sync-DRAW architecture. (a) The read-write mechanisms and the R-VAE; (b) Conditioning the R-VAE's decoder on text features extracted from captions for text-to-video generation; (c) Canvases generated by Sync-DRAW over time (each row is a video at a particular time step, last row is the final generated video).

Results

One Digit

Without Caption With Caption
Digit 5 is moving left and right.

Two Digit

Without Caption With Caption
digit 2 is going up and down and
digit 0 is going left and right.

KTH Dataset

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Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures


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