Model-agnostic origin attribution of generated images with few-shot examples
Recent progress in visual generative models enables the generation of high-quality images. To prevent the misuse of generated images, it is important to identify the origin model that generates them. In this work, we study the origin attribution of generated images in a practical setting where only...
| Main Authors: | , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
2024
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