AI assisted visual communication through generative models

Thesis

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 ...

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Authors: Ghosh, A

• DOI: 10.5287/ora-kzxevgako
• Type of award: DPhil
• Level of award: Doctoral
• Awarding institution: University of Oxford
• Language: English
• Keywords: Neural ODE; Image Generation; AI Art; VAE; Generative AI; Computer Vision; GAN; Generative Models
• Subjects: Image processing; Human-machine systems; Computer vision