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cs.CV2026
Correcting Guided Diffusion Trajectories with Spectral Alignment
Gihoon Kim, Taesup Kim
The practical success of conditional image generation hinges on fine-grained differences in condition alignment and visual fidelity. Classifier-free guidance (CFG) is central to th…
cs.CV2025
Anchor to Expand: Semantic Anchoring for Personalized Text-to-Image Diffusion Models
Seoyun Yang, Gihoon Kim, Taesup Kim
Personalizing text-to-image diffusion models extends pretrained models to represent novel user-specific concepts from only a few reference images. However, learning a new concept w…
cs.CV2025
Preserve and Personalize: Personalized Text-to-Image Diffusion Models without Distributional Drift
Gihoon Kim, Hyungjin Park, Taesup Kim
Personalizing text-to-image diffusion models involves integrating novel visual concepts from a small set of reference images while retaining the model's original generative capabil…