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cs.CV2025
World-To-Image: Grounding Text-to-Image Generation with Agent-Driven World Knowledge
Moo Hyun Son, Jintaek Oh, Sun Bin Mun +2
While text-to-image (T2I) models can synthesize high-quality images, their performance degrades significantly when prompted with novel or out-of-distribution (OOD) entities due to…
cs.CV2024
FameBias: Embedding Manipulation Bias Attack in Text-to-Image Models
Jaechul Roh, Andrew Yuan, Jinsong Mao
Text-to-Image (T2I) diffusion models have rapidly advanced, enabling the generation of high-quality images that align closely with textual descriptions. However, this progress has…
cs.CV2023
Understanding (Un)Intended Memorization in Text-to-Image Generative Models
Ali Naseh, Jaechul Roh, Amir Houmansadr
Multimodal machine learning, especially text-to-image models like Stable Diffusion and DALL-E 3, has gained significance for transforming text into detailed images. Despite their g…