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cs.CV2026
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…
cs.CV2025
Semantic Anchoring for Robust Personalization in Text-to-Image Diffusion Models
Seoyun Yang, Gihoon Kim, Taesup Kim
Text-to-image diffusion models have achieved remarkable progress in generating diverse and realistic images from textual descriptions. However, they still struggle with personaliza…
cs.CV2024
NeRFFaceSpeech: One-shot Audio-driven 3D Talking Head Synthesis via Generative Prior
Gihoon Kim, Kwanggyoon Seo, Sihun Cha +1
Audio-driven talking head generation is advancing from 2D to 3D content. Notably, Neural Radiance Field (NeRF) is in the spotlight as a means to synthesize high-quality 3D talking…