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...
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| 格式: | Final Year Project |
| 語言: | English |
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Nanyang Technological University
2024
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/181225 |
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| 機構: | Nanyang Technological University |
| 語言: | English |