Chung, Hyungjin

19 publications

ICLRW 2025 Amortized Posterior Sampling with Diffusion Prior Distillation Abbas Mammadov, Hyungjin Chung, Jong Chul Ye

ICLR 2025 CFG++: Manifold-Constrained Classifier Free Guidance for Diffusion Models Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye

ICCV 2025 CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models Junho Kim, Hyungjin Chung, Byung-Hoon Kim

CVPR 2025 Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Won Jun Kim, Hyungjin Chung, Jaemin Kim, Sangmin Lee, Byeongsu Sim, Jong Chul Ye

NeurIPS 2025 InvFusion: Bridging Supervised and Zero-Shot Diffusion for Inverse Problems Noam Elata, Hyungjin Chung, Jong Chul Ye, Tomer Michaeli, Michael Elad

ICLR 2025 Regularization by Texts for Latent Diffusion Inverse Solvers Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, Jong Chul Ye

ICCV 2025 SteerX: Creating Any Camera-Free 3D and 4D Scenes with Geometric Steering Byeongjun Park, Hyojun Go, Hyelin Nam, Byung-Hoon Kim, Hyungjin Chung, Changick Kim

ICCV 2025 VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling Hyojun Go, Byeongjun Park, Hyelin Nam, Byung-Hoon Kim, Hyungjin Chung, Changick Kim

ICLR 2024 Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems Hyungjin Chung, Suhyeon Lee, Jong Chul Ye

ECCV 2024 Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems Hyungjin Chung, Jong Chul Ye

ICML 2024 Prompt-Tuning Latent Diffusion Models for Inverse Problems Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio

ICLR 2023 Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung, Jeongsol Kim, Michael Thompson Mccann, Marc Louis Klasky, Jong Chul Ye

NeurIPS 2023 Direct Diffusion Bridge Using Data Consistency for Inverse Problems Hyungjin Chung, Jeongsol Kim, Jong Chul Ye

ICCV 2023 Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye

CVPR 2023 Parallel Diffusion Models of Operator and Image for Blind Inverse Problems Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye

CVPR 2023 Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc L. Klasky, Jong Chul Ye

CVPR 2022 Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems Through Stochastic Contraction Hyungjin Chung, Byeongsu Sim, Jong Chul Ye

NeurIPS 2022 Improving Diffusion Models for Inverse Problems Using Manifold Constraints Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye

NeurIPSW 2022 Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis Sangyun Lee, Hyungjin Chung, Jaehyeon Kim, Jong Chul Ye