Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation

Understand

The field of text-to-image (T2I) generation has garnered significant attention both within the research community and among everyday users.

• Despite the advancements of T2I models, a common issue encountered by users is the need for repetitive editing of input prompts in order to receive a satisfactory image, which is time-consuming and labor-intensive.
• Given the demonstrated text generation power of large-scale language models, such as GPT-k, we investigate the potential of utilizing such models to improve the prompt editing process for T2I generation.
• We conduct a series of experiments to compare the common edits made by humans and GPT-k, evaluate the performance of GPT-k in prompting T2I, and examine factors that may influence this process.