Successive Image Generation from a Single Sentence

Through various examples in history such as the early man’s carving on caves, dependence on diagrammatic representations, the immense popularity of comic books we have seen that vision has a higher reach in communication than written words. In this paper, we analyse and propose a new task of transfe...

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Bibliographic Details
Published in:ITM web of conferences 2021, Vol.40, p.3017
Main Authors: Parab, Amogh, Malik, Ananya, Damania, Arish, Parekhji, Arnav, Bari, Pranit
Format: Article
Language:English
Subjects:
Artificial neural networks
Caves
cnn
computer vision
deep learning
Generative adversarial networks
gpt-2
gru
Image processing
lstm
natural language processing
rnn
Synthesis
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Summary:Through various examples in history such as the early man’s carving on caves, dependence on diagrammatic representations, the immense popularity of comic books we have seen that vision has a higher reach in communication than written words. In this paper, we analyse and propose a new task of transfer of information from text to image synthesis. Through this paper we aim to generate a story from a single sentence and convert our generated story into a sequence of images. We plan to use state of the art technology to implement this task. With the advent of Generative Adversarial Networks text to image synthesis have found a new awakening. We plan to take this task a step further, in order to automate the entire process. Our system generates a multi-lined story given a single sentence using a deep neural network. This story is then fed into our networks of multiple stage GANs inorder to produce a photorealistic image sequence.
ISSN:2271-2097
2431-7578
2271-2097
DOI:10.1051/itmconf/20214003017