CORTEXA
← Browse

Seongmin Kim

2 papers indexed

arxivquant-phcs.AIcs.DCmath.OC2026-07-22

DQAOA-GPT: AI-Accelerated Distributed Quantum Optimization for Combinatorial Problems

Seongmin Kim, Abhinav Rijal, Yuri Alexeev, Nora Bauer, Martin Roetteler, Mina Yoon, et al.

While combinatorial optimization problems are central to many scientific and engineering applications, their solution remains challenging due to exponentially large search spaces. Variational quantum algorithms offer a promising route for tackling such problems, yet their practic…

View free PDFSource page
arxivcs.CV2026-07-01

Decoupled Guidance: Disentangling Subject and Context Pathways in Text-to-Image Personalization

Seongmin Kim, Kyucheol Shin, Heesun Jung, Jinseo Kim, Sungyong Baik

Text-to-image personalization aims to generate a user-provided subject in novel scenes described by text. However, most existing methods encode subject identity (fidelity) and context (editability) through the same conditioning pathway, forcing the two to compete for attention-ma…

View free PDFSource page