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cs.CV2025
MAGIC: Few-Shot Mask-Guided Anomaly Inpainting with Prompt Perturbation, Spatially Adaptive Guidance, and Context Awareness
JaeHyuck Choi, MinJun Kim, Je Hyeong Hong
Few-shot anomaly generation is a key challenge in industrial quality control. Although diffusion models are promising, existing methods struggle: global prompt-guided approaches co…
cs.CV2019
Unpaired image denoising using a generative adversarial network in X-ray CT
Hyoung Suk Park, Jineon Baek, Sun Kyoung You +2
This paper proposes a deep learning-based denoising method for noisy low-dose computerized tomography (CT) images in the absence of paired training data. The proposed method uses a…