3 papers
cs.CV2025
Defining and Quantifying Creative Behavior in Popular Image Generators
Aditi Ramaswamy, Hana Chockler, Melane Navaratnarajah
Creativity of generative AI models has been a subject of scientific debate in the last years, without a conclusive answer. In this paper, we study creativity from a practical persp…
cs.HC2024
It's a Feature, Not a Bug: Measuring Creative Fluidity in Image Generators
Aditi Ramaswamy, Melane Navaratnarajah, Hana Chockler
With the rise of freely available image generators, AI-generated art has become the centre of a series of heated debates, one of which concerns the concept of human creativity. Can…
cs.CV2023
You Only Explain Once
David A. Kelly, Hana Chockler, Daniel Kroening +4
In this paper, we propose a new black-box explainability algorithm and tool, YO-ReX, for efficient explanation of the outputs of object detectors. The new algorithm computes explan…