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cs.CV2026
FiRe: Fine-grained Multimodal Reasoning for Enhanced Image Generation
Yongjin Kim, Yoonjin Oh, Yerin Kim +5
With the rapid progress of Multimodal Large Language Models (MLLMs), unified MLLMs that jointly perform image understanding and generation have advanced significantly. However, des…
cs.CV2025
OSPO: Object-Centric Self-Improving Preference Optimization for Text-to-Image Generation
Yoonjin Oh, Yongjin Kim, Hyomin Kim +2
Recent advances in Multimodal Large Language Models (MLLMs) have enabled unified multimodal understanding and generation. However, they still struggle with fine-grained text-image…
cs.CV2025
Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM
Donghwan Chi, Hyomin Kim, Yoonjin Oh +7
Recently, multimodal large language models (MLLMs) have emerged as a key approach in achieving artificial general intelligence. In particular, vision-language MLLMs have been devel…