Seunghoi Kim

HalluGen: Synthesizing Realistic and Controllable Hallucinations for Evaluating Image Restoration

Generative models are prone to hallucinations: plausible but incorrect structures absent in the ground truth. This issue is problematic in image restoration for safety-critical domains such as medical imaging, industrial inspection, and remote sensing, where such errors undermine reliability and tru