Quantifying combinatorial capababilities of image-generating AI
This study investigates the combinatorial capabilities of state-of-the-art generative AI models—Midjourney, DALL-E, and Stable Diffusion—when tasked with generating images containing underrepresented object combinations. Utilizing the LAION400M dataset as a proxy for the models' training data...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/181225 |