Seunggyu Lee — accepted AI-conference papers

2025

Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate

Byung Hyun Lee, Sungjin Lim, Seunggyu Lee, Dong Un Kang, Se Young Chun

ICLR 2025poster

Remarkable progress in text-to-image diffusion models has brought a major concern about potentially generating images on inappropriate or trademarked concepts. Concept erasing has been investigated with the goals of deleting target concepts in diffusion models while preserving other concepts with mi…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗

2025

PersonaCraft: Personalized and Controllable Full-Body Multi-Human Scene Generation Using Occlusion-Aware 3D-Conditioned Diffusion

Gwanghyun Kim, Suh Yoon Jeon, Seunggyu Lee, Se Young Chun

ICCV 2025accepted

We present PersonaCraft, a framework for controllable and occlusion-robust full-body personalized image synthesis of multiple individuals in complex scenes. Current methods struggle with occlusion-heavy scenarios and complete body personalization, as 2D pose conditioning lacks 3D geometry, often lea…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗