Generative Visual Communication in the Era of Vision-Language Models

• URL: http://arxiv.org/abs/2411.18727v1
• Date: Wed, 27 Nov 2024 20:04:31 GMT
• Title: Generative Visual Communication in the Era of Vision-Language Models
• Authors: Yael Vinker,
• Abstract summary: In today's visually saturated world, effective design demands an understanding of graphic design principles. This dissertation explores how recent advancements in vision-language models can be leveraged to automate the creation of effective visual communication designs.
• Score: 9.229067992381763
• License:
• Abstract: Visual communication, dating back to prehistoric cave paintings, is the use of visual elements to convey ideas and information. In today's visually saturated world, effective design demands an understanding of graphic design principles, visual storytelling, human psychology, and the ability to distill complex information into clear visuals. This dissertation explores how recent advancements in vision-language models (VLMs) can be leveraged to automate the creation of effective visual communication designs. Although generative models have made great progress in generating images from text, they still struggle to simplify complex ideas into clear, abstract visuals and are constrained by pixel-based outputs, which lack flexibility for many design tasks. To address these challenges, we constrain the models' operational space and introduce task-specific regularizations. We explore various aspects of visual communication, namely, sketches and visual abstraction, typography, animation, and visual inspiration.

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