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2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.
ImmersiveTTS: Environment-Aware Text-to-Speech with Multimodal Diffusion Transformer and Domain-Specific Representation Alignment
J.-H. Yun, S.-B. Kim, S.-W. Lee
KU이성환
Causal Manifold Transport for Identifiable Causal Generation in Diffusion Models
J. Sohn, W. Jeong, S. Song, J. Yoon, H.-I. Suk
KU석흥일
Deconstructing Guidance: A Semantic Hierarchy for Precise Diffusion Model Editing
W. Jeong, J. Sohn, J. Yoon, H.-I. Suk
KU석흥일
Margin-aware Preference Optimization for Aligning Diffusion Models without Reference
Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong
KU정종헌
Dynamic-eDiTor: Training-Free Text-Driven 4D Scene Editing with Multimodal Diffusion Transformer
Dong In Lee, Hyungjun Doh, Seunggeun Chi, Runlin Duan, Sangpil Kim, Karthik Ramani
KU김상필
Text-Aware Image Restoration with Diffusion Models
Jaewon Min, Jin Hyeon Kim, Paul Hyunbin Cho, Jaeeun Lee, Jihye Park, Minkyu Park, Sangpil Kim, Hyunhee Park, Seungryong Kim
KU김상필
Flow Straight to Reality: Perceptually Consistent Flow Matching for Efficient Image Restoration
Sangwoo Jo, Donggeun Ko, Jayeon Kang, Youngsang Kwak, Jaehwa Kwak, Sungjoon Choi
KU최성준
PT-Diff: Brain Network Generation with Personalized Topology Guided Conditional Diffusion Transformer
Ji-Hye Oh, Chang-Hoon Ji, Su-Yeon Kwak, Yu-Kyum Kang, Ji-Wung Han, Jun-Mo Kim, Tae-Eui Kam
KU감태의
Refining Compositional Diffusion for Reliable Long-Horizon Planning
Kyowoon Lee, Yunhao Luo, Anh Tong, Jaesik Choi
KUAnh Tong
Self-Improving Diffusion Classifiers with Minority Preference Optimization
Hyunsoo Kim, Jungmyung Wi, Soobin Um, Donghyun Kim, Suhyun Kim
KU김동현
Domain Transfer Learning for Multi-class EEG Decoding Based on Lateral Feature Connected Diffusion Model
S.-H. Lee, S.-H. Lee, S.-W. Lee
KU이성환
PaT-Diff: Pathology-Aware Residual Diffusion Framework for MRI-to-PET Translation in Alzheimer's Disease
H.-E. Kim, K. Oh, H.-I. Suk
KU석흥일
SAM-TXD: SAM with Text-Guided Diffusion for Refined Medical Image Segmentation
S. Yoo, J. Sohn, K. Oh, H.-I. Suk
KU석흥일
LVMark: Robust Watermark for Latent Video Diffusion Models
Youngdong Jang, MinHyuk Jang, JaeHyeok Lee, Feng Yang, Gyeongrok Oh, Jongheon Jeong, Sangpil Kim
KU정종헌
Cyclic Conditional Diffusion Models for CT-to-MR Synthetic Image Segmentation with Misaligned Image Pairs
Jang, H., Han, N., Kwon, J., Seo, H., Park B.J., Choi, K.
KU서현석
On the Role of Proposal Support in Diffusion-Based Offline RL for Sequential Decision-Making
Yunho Kim, Jaehyun Park, Heejun Kim, Sejin Kim, Byung-Jun Lee, Sundong Kim
KU이병준
Scalable Through Silicon Via Design Optimization Using Diffusion Model
Hyun-Sung Kim, Byung-Jun Lee
KU이병준
Diffusion-Based AI System for Second Language Reading: Development, Text Quality Validation, and Learner Perception
H. Lim, Euijune Lee, Si Eun Kwoun, Sung-Ho Bae, G.-M. Park, Yohan Hwang, Sangmin-Michelle Lee
KU박경문
When to Stop and Which to Return: Trajectory-Level Minimum Bayes Risk Decoding for Diffusion Language Models
Subeeun Park, Sungjun Lim, Heejin Jung, Somin Kim, G.-M. Park, Kyungwoo Song
KU박경문
Adaptive Hilbert Diffusion Models for Controllable Smoothness in Continuous Function Generation
Taehyun Byun, Seulbi Lee, Kyungjae Lee, Sangheum Hwang, Sungjoon Choi
KU최성준
A peak-oriented diffusion model for high-fidelity electrocardiogram reconstruction from photoplethysmogram: development and usability study
HM Cho, S Han, JK Seong, I Youn
KU성준경
Counterfactual Explanation Through Latent Adjustment in Disentangled Space of Diffusion Model
S.-H. Na, S.-W. Lee
KU이성환
FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow Matching
J.-H. Yun, S.-B. Kim, S.-W. Lee
KU이성환
PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation
S.-H. Lee, H.-Y. Choi, and S.-W. Lee
KU이성환
ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization
J. Yoon, J. Sohn, W. Jeong, H.-I. Suk
KU석흥일
Frequency-Conditioned Diffusion Models for Time Series Generation
S. Jeong, J. Sohn, J. Jeon, H.-I. Suk
KU석흥일
Adaptive Non-Uniform Timestep Sampling for Diffusion Model Training
Myunsoo Kim, Donghyeon Ki, Seongwoong Shim, Byung-Jun Lee
KU이병준
Prior-Guided Diffusion Planning for Offline Reinforcement Learning
Donghyeon Ki, JunHyeok Oh, Seongwoong Shim, Byung-Jun Lee
KU이병준