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cs.CV2026
Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs
Yunhun Nam, Jongheon Jeong
Vision-Language Models (VLMs) have shown strong performance in visual understanding, yet they still suffer from hallucinations, generating content that is not grounded in the image…
cs.CV2025
BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing
Jinsu Kim, Yunhun Nam, Minseon Kim +2
Recent advances in text-to-image models have increased the exposure of powerful image editing techniques as a tool, raising concerns about their potential for malicious use. An eme…
cs.CV2024
Margin-aware Preference Optimization for Aligning Diffusion Models without Reference
Jiwoo Hong, Sayak Paul, Noah Lee +3
Modern preference alignment methods, such as DPO, rely on divergence regularization to a reference model for training stability-but this creates a fundamental problem we call "refe…