Kim, Dongjun

16 publications

NeurIPS 2025 Exploring Diffusion Transformer Designs via Grafting Keshigeyan Chandrasegaran, Michael Poli, Daniel Y Fu, Dongjun Kim, Lea M. Hadzic, Manling Li, Agrim Gupta, Stefano Massaroli, Azalia Mirhoseini, Juan Carlos Niebles, Stefano Ermon, Li Fei-Fei

ICLR 2025 HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai, Dongjun Kim, Naoki Murata, Takashi Shibuya, Wei-Hsiang Liao, Shao-Hua Sun, Yuki Mitsufuji

ICLR 2025 SoundCTM: Unifying Score-Based and Consistency Models for Full-Band Text-to-Sound Generation Koichi Saito, Dongjun Kim, Takashi Shibuya, Chieh-Hsin Lai, Zhi Zhong, Yuhta Takida, Yuki Mitsufuji

NeurIPS 2025 Training-Free Safe Denoisers for Safe Use of Diffusion Models Mingyu Kim, Dongjun Kim, Amman Yusuf, Stefano Ermon, Mijung Park

ICLRW 2025 Training-Free Safe Denoisers for Safe Use of Diffusion Models Mingyu Kim, Dongjun Kim, Amman Yusuf, Stefano Ermon, Mijung Park

ICLR 2024 Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, Stefano Ermon

ICLR 2024 Manifold Preserving Guided Diffusion Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon

ICML 2024 Mean-Field Chaos Diffusion Models Sungwoo Park, Dongjun Kim, Ahmed Alaa

NeurIPS 2024 PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon

NeurIPSW 2024 SoundCTM: Uniting Score-Based and Consistency Models for Text-to-Sound Generation Koichi Saito, Dongjun Kim, Takashi Shibuya, Chieh-Hsin Lai, Zhi Zhong, Yuhta Takida, Yuki Mitsufuji

ICLR 2024 Training Unbiased Diffusion Models from Biased Dataset Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-chul Moon

ICML 2023 Refining Generative Process with Discriminator Guidance in Score-Based Diffusion Models Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon

NeurIPS 2022 Maximum Likelihood Training of Implicit Nonlinear Diffusion Model Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-chul Moon

ICML 2022 Soft Truncation: A Universal Training Technique of Score-Based Diffusion Model for High Precision Score Estimation Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

NeurIPSW 2022 Unsupervised Controllable Generation with Score-Based Diffusion Models: Disentangled Latent Code Guidance Yeongmin Kim, Dongjun Kim, HyeonMin Lee, Il-chul Moon

AAAI 2021 Implicit Kernel Attention Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon