Kim, Beomsu

14 publications

ICML 2025 Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation Soobin Um, Beomsu Kim, Jong Chul Ye

ICLR 2025 Generalized Consistency Trajectory Models for Image Manipulation Beomsu Kim, Jaemin Kim, Jeongsol Kim, Jong Chul Ye

ICLR 2025 Simple ReFlow: Improved Techniques for Fast Flow Models Beomsu Kim, Yu-Guan Hsieh, Michal Klein, Marco Cuturi, Jong Chul Ye, Bahjat Kawar, James Thornton

ICMLW 2024 (Deep) Generative Geodesics Beomsu Kim, Michael Anthony Puthawala, Jong Chul Ye, Emanuele Sansone

ICLR 2024 Unpaired Image-to-Image Translation via Neural Schrödinger Bridge Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye

ICML 2023 Denoising MCMC for Accelerating Diffusion-Based Generative Models Beomsu Kim, Jong Chul Ye

NeurIPS 2023 Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye

ICML 2023 Minimizing Trajectory Curvature of ODE-Based Generative Models Sangyun Lee, Beomsu Kim, Jong Chul Ye

AISTATS 2022 Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness Beomsu Kim, Junghoon Seo

NeurIPS 2022 Energy-Based Contrastive Learning of Visual Representations Beomsu Kim, Jong Chul Ye

CVPR 2021 Disentangling Label Distribution for Long-Tailed Visual Recognition Youngkyu Hong, Seungju Han, Kwanghee Choi, Seokjun Seo, Beomsu Kim, Buru Chang

ECCV 2020 Filter Style Transfer Between Photos Jonghwa Yim, Jisung Yoo, Won-joon Do, Beomsu Kim, Jihwan Choe

AAAI 2020 MarioNETte: Few-Shot Face Reenactment Preserving Identity of Unseen Targets Sungjoo Ha, Martin Kersner, Beomsu Kim, Seokjun Seo, Dongyoung Kim

ICCVW 2019 Why Are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps Beomsu Kim, Junghoon Seo, Seunghyeon Jeon, Jamyoung Koo, Jeongyeol Choe, Taegyun Jeon