| 2025 | CVPR | Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI. | Won Jun Kim, Hyungjin Chung, Jaemin Kim, Sangmin Lee, Byeongsu Sim, Jong Chul Ye |
| 2025 | ICCV | 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 |
| 2025 | ICCV | CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models. | Junho Kim, Hyungjin Chung, Byung-Hoon Kim |
| 2025 | ICCV | 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 |
| 2025 | ICLR | CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models. | Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye |
| 2025 | ICLR | Regularization by Texts for Latent Diffusion Inverse Solvers. | Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, Jong Chul Ye |
| 2025 | MICCAI | Lesion-Aware Post-training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion. | Junhyeok Lee, Hyunwoong Kim, Hyungjin Chung, Heeseong Eom, Joon Jang, Chul-Ho Sohn, Kyu Sung Choi |
| 2024 | ECCV | Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems. | Hyungjin Chung, Jong Chul Ye |
| 2024 | ICLR | Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems. | Hyungjin Chung, Suhyeon Lee, Jong Chul Ye |
| 2024 | ICML | Prompt-tuning Latent Diffusion Models for Inverse Problems. | Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio |
| 2023 | CVPR | Parallel Diffusion Models of Operator and Image for Blind Inverse Problems. | Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye |
| 2023 | CVPR | Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models. | Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye |
| 2023 | ICCV | Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models. | Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye |
| 2023 | ICIP | Score-Based Diffusion Models for Bayesian Image Reconstruction. | Michael T. McCann, Hyungjin Chung, Jong Chul Ye, Marc Louis Klasky |
| 2023 | ICLR | Diffusion Posterior Sampling for General Noisy Inverse Problems. | Hyungjin Chung, Jeongsol Kim, Michael Thompson McCann, Marc Louis Klasky, Jong Chul Ye |
| 2022 | CVPR | Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. | Hyungjin Chung, Byeongsu Sim, Jong Chul Ye |