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Thesis

AI assisted visual communication through generative models

Abstract:

Expressing ideas in our minds which are inevitably visual into words had been a necessity. Lack of tools to express oneself creatively using visual communication had been a bottleneck. With the advent of AI and generative models starting to be applied to graphics based tasks, this elusive elysian fields seems to be a step closer. This thesis tries to tackle the challenge using the 3 pronged approach of GANs, VAEs and Continuous Normalizing Flows.

We first propose MAD-GAN, an intuit...

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Division:
MPLS
Department:
Engineering Science
Role:
Author

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Role:
Supervisor


Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford


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