Moon, Taehong

6 publications

ICML 2025 Efficient Generative Modeling with Residual Vector Quantization-Based Tokens Jaehyeon Kim, Taehong Moon, Keon Lee, Jaewoong Cho

ICML 2025 How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects Wonkwang Lee, Jongwon Jeong, Taehong Moon, Hyeon-Jong Kim, Jaehyeon Kim, Gunhee Kim, Byeong-Uk Lee

ICLR 2025 Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee, Jaewoong Cho

ICML 2024 A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models Taehong Moon, Moonseok Choi, Eunggu Yun, Jongmin Yoon, Gayoung Lee, Jaewoong Cho, Juho Lee

ICMLW 2023 Early Exiting for Accelerated Inference in Diffusion Models Taehong Moon, Moonseok Choi, EungGu Yun, Jongmin Yoon, Gayoung Lee, Juho Lee

NeurIPSW 2022 Fine-Tuning Diffusion Models with Limited Data Taehong Moon, Moonseok Choi, Gayoung Lee, Jung-Woo Ha, Juho Lee