관련 연구실
등급은 학회·저널 분류이며 연구실 순위가 아닙니다.
- KAISTAI for Science
예종철BISPL
관련 논문 54편비중 47%- 2026Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models NeurIPS
- 2026Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion Models ICML
- 2026ContrastiveCFG: Guiding Diffusion Sampling by Contrasting Positive and Negative Concepts ICML
- KAIST컴퓨터 비전
김승룡CV Lab
관련 논문 32편비중 28%- 2026A Noise is Worth Diffusion Guidance ICLR
- 2026APPLE: Attribute-Preserving Pseudo-Labeling for Diffusion-Based Face Swapping CVPR
- 2026Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching NeurIPS
- SNU컴퓨터 비전
전세영ICL
관련 논문 19편비중 28%연구 분야에 명시- 2026Erasing Thousands of Concepts: Towards Scalable and Practical Concept Erasure for Text-to-Image Diffusion Models CVPR
- 2026Patch-to-Global: Random Patch Diffusion for Globally Consistent Megapixel Artifact Inpainting in Whole Slide Images MICCAI
- 2026Training-free Mixed-Resolution Latent Upsampling for Spatially Accelerated Diffusion Transformers CVPR
- KAIST머신러닝
신진우ALIN Lab
관련 논문 20편비중 16%- 2026AtomMOF: All-Atom Flow Matching for MOF-Adsorbate Structure Prediction NeurIPS
- 2026Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model ICML
- 2026Example-Based Spatial Guidance for Training-Free Concept Erasure in Diffusion Models NeurIPS
- KAIST컴퓨터 비전
성민혁Visual AI Group
관련 논문 15편비중 33%- 2026Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion NeurIPS
- 2026DiffusionRollout: Uncertainty-Aware Rollout Planning in Long-Horizon PDE Solving TMLR
- 2026MUNI: Multimodal Unified Latent Diffusion for Coherent Any-to-Any Generation NeurIPS
- Yonsei머신러닝
노승문AI-ISL
관련 논문 10편비중 27%연구 분야에 명시- 2026A Theoretical Analysis of Why Masked Diffusion Models Mitigate the Reversal Curse NeurIPS
- 2026A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models ICLR
- 2026Dependency-Aware Parallel Decoding via Attention for Diffusion LLMs ICML
- SNU컴퓨터 비전
이준석VIP Lab
관련 논문 12편비중 21%연구 분야에 명시- 2026Efficient Adjoint Matching for Fine-tuning Diffusion Models NeurIPS
- 2026Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge Matching ICML
- 2026Equivariant Latent Alignment via Flow Matching under Group Symmetries ICML
- KAIST음성·오디오
정준선Multimodal AI Lab
관련 논문 15편비중 16%- 2026Diffusion-Link: Diffusion Probabilistic Model for Bridging the Audio-Text Modality Gap ICASSP
- 2026DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and Synchronization CVPR
- 2026LP-CFM: Perceptual Invariance-Aware Conditional Flow Matching for Speech Modeling ICASSP
- KAIST머신러닝
문일철AAI Lab
관련 논문 11편비중 28%연구 분야에 명시- 2026AC-Sampler: Accelerate and Correct Diffusion Sampling with Metropolis-Hastings Algorithm ICLR
- 2026Best-of-$N$ Guidance for Test-time Diffusion Alignment NeurIPS
- 2026Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models ICML
- Yonsei컴퓨터 비전
어영정Visual Intelligence Lab
관련 논문 10편비중 38%연구 분야에 명시- 2026JAM-Flow: Joint Audio-Motion Synthesis with Flow Matching ECCV
- 2026MVCustom: Multi-View Customized Diffusion via Geometric Latent Rendering and Completion ICLR
- 2026Syncphony: Synchronized Audio-to-Video Generation with Diffusion Transformers ICLR
- KAIST머신러닝
윤세영OSI Lab
관련 논문 12편비중 8%- 2026BASTION: Budget-Aware Speculative Decoding with Tree-structured Block Diffusion Drafting NeurIPS
- 2026MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models NeurIPS
- 2026Pivot-SD: Efficient Self-Distillation for Masked Diffusion Language Models EMNLP
- KAIST머신러닝
이주호SIML Lab
관련 논문 12편비중 15%- 2026Coarse-to-fine compositional diffusion for long-horizon planning NeurIPS
- 2026Example-based spatial guidance for training-free concept erasure in diffusion models NeurIPS
- 2026Riemannian diffusion models on general manifolds via physics-informed neural networks ICML
- KU머신러닝
이성환PRML Lab
관련 논문 14편비중 8%- 2026ImmersiveTTS: Environment-Aware Text-to-Speech with Multimodal Diffusion Transformer and Domain-Specific Representation Alignment ACL
- 2026Domain Transfer Learning for Multi-class EEG Decoding Based on Lateral Feature Connected Diffusion Model Expert Systems with Applications
- 2025Counterfactual Explanation Through Latent Adjustment in Disentangled Space of Diffusion Model IEEE TNNLS
- KAISTAI 시스템
김주영CAST Lab
관련 논문 10편비중 15%- 2026A 11.0 TOPS/W Diffusion Accelerator with Temporal Data Reuse for Real-Time Text-to-Motion Generation JSSC
- 2026APT: Accelerating Diffusion Transformers via Attention Probability-Guided Pruning and Quantization ICCAD
- 2026MASQ: Accelerating Masked Diffusion via Stage-Wise Multi-Precision Quantization DAC
- SNU컴퓨터 비전
이경무, 한보형CV Lab
관련 논문 9편비중 10%연구 분야에 명시- 2026Bridging the Distribution Gap to Harness Pretrained Diffusion Priors for Super-Resolution ICLR
- 2026Image Diffusion Preview with Consistency Solver CVPR
- 2026Optimizing Diffusion Samplers via Dynamic Preference ECCV
- KAIST머신러닝
안성수SPML Lab
관련 논문 10편비중 21%- 2026AtomMOF: All-Atom Flow Matching for MOF-Adsorbate Structure Prediction NeurIPS
- 2026CatFlow: Co-generation of Slab-Adsorbate Systems via Flow Matching ICML
- 2026Learning Flexible Forward Trajectories for Masked Molecular Diffusion ICLR
- KAIST머신러닝
안성진MLML
관련 논문 9편비중 30%- 2026Extendable Planning via Multiscale Diffusion AAAI
- 2026Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall ICLR
- 2026Inference-Time Scaling in Diffusion Models through Iterative Partial Refinement ICLR
- POSTECHAI for Science
김원화, 류일우MIP Lab
관련 논문 11편비중 15%- 2026Spherical RePaint: Label-Reusable Diffusion-Based Augmentation for Parcellation ShapeMI
- 2025Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies ICLR
- 2025Conditional Graph Diffusion with Topological Constraints for Brain Network Generation MICCAI
- KAIST컴퓨터 비전
김승욱GLOW Lab
관련 논문 8편비중 57%- 2026Direct Diffusion Score Preference Optimization via Stepwise Contrastive Policy-Pair Supervision ECCV
- 2025Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression CVPR
- 2024Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models CVPR
- SNU머신러닝
윤성로AI Lab
관련 논문 9편비중 8%- 2026Diagnosing and Correcting Concept Omission in Multimodal Diffusion Transformers ICML
- 2026Exploring the Transformer-based and Diffusion-based Models for Single Image Deblurring Journal of Visual Communication and Image Representation
- 2025DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection CVPR
- Yonsei컴퓨터 비전
황성재MICV Lab
관련 논문 7편비중 16%- 2026Controlling Motion Transfer in Diffusion Transformers via Attention Heads ECCV
- 2026Interpretable Motion Attentive Maps: Spatio-Temporally Localizing Concepts in Video Diffusion Transformers CVPR
- 2026Mitigating Mask Prior Drift and Positional Attention Collapse in Large Diffusion Vision-Language Models ICML
- KAIST머신러닝
황성주MLAI Lab
관련 논문 11편비중 11%- 2026Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Model ICLR
- 2025Continuous Diffusion Model for Language Modeling NeurIPS
- 2025Diffusion-based Neural Network Weights Generation ICLR
- KAIST컴퓨터 비전
홍승훈Vision and Learning Lab
관련 논문 6편비중 16%- 2026Infinite Mask Diffusion for Few-Step Distillation ICML
- 2026Inverting Data Transformations via Diffusion Sampling ICML
- 2026Root-Selecting Fixed-Point Inversion for Rectified Flows via Trajectory Straightness NeurIPS
- KUAI for Science
석흥일Machine Intelligence Lab
관련 논문 7편비중 13%- 2026Causal Manifold Transport for Identifiable Causal Generation in Diffusion Models IJCAI
- 2026Deconstructing Guidance: A Semantic Hierarchy for Precise Diffusion Model Editing ICLR
- 2026PaT-Diff: Pathology-Aware Residual Diffusion Framework for MRI-to-PET Translation in Alzheimer's Disease ISBI
- KAIST머신러닝
박진규System Intelligence Lab
관련 논문 7편비중 13%- 2026Diffusion Alignment as Variational Expectation-Maximization ICLR
- 2026Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function ICLR
- 2026Traffic Network Layout Optimization with Guided Discrete Diffusion Models WSDM
- KAIST컴퓨터 비전
윤국진VI Lab
관련 논문 7편비중 6%- 2026FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model ECCV
- 2026GeoNVS: Geometry Grounded Video Diffusion for Novel View Synthesis ECCV
- 2026ReSplat: Degradation-agnostic Feed-forward Gaussian Splatting via Self-guided Residual Diffusion ICLR
- KAIST컴퓨터 비전
김현우MLV Lab
관련 논문 8편비중 11%- 2026Error as Signal: Stiffness-Aware Diffusion Sampling via Embedded Runge-Kutta Guidance ICLR
- 2026SPRINT: Sparse-Dense Residual Fusion for Efficient Diffusion Transformers ICLR
- 2025Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation NeurIPS
- KAIST컴퓨터 비전
김준모SIIT Lab
관련 논문 8편비중 10%- 2026ConceptPrism: Concept Disentanglement in Personalized Diffusion Models via Residual Token Optimization CVPR
- 2026HyperVAttention: Efficient Sparse Attention with Spatio-Temporal Clustering for Video Diffusion NeurIPS
- 2025DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization ICCV
- KAIST컴퓨터 비전
오태현AMI Lab
관련 논문 7편비중 7%- 2026Early Failure Detection and Intervention in Video Diffusion Models NeurIPS
- 2026Measurement-Consistent Langevin Corrector for Stabilizing Latent Diffusion Inverse Problem Solvers ICML
- 2025AlignDiT: Multimodal Aligned Diffusion Transformer for Synchronized Speech Generation ACM MM
- KAIST컴퓨터 비전
주재걸DAVIAN Lab
관련 논문 8편비중 6%- 2026Memory-Efficient Fine-Tuning Diffusion Transformer via Dynamic Patch Sampling and Block Skipping CVPR
- 2025Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs EMNLP
- 2025Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling CVPR
- KAIST음성·오디오
남주한MAC Lab
관련 논문 8편비중 9%- 2026D3PIA: A Discrete Denoising Diffusion Model for Piano Accompaniment Generation from Lead sheet ICASSP
- 2026Melody-Aware & Total Duration Preserving Singing Voice Editing with Flow Matching Infilling INTERSPEECH
- 2025D3RM: A Discrete Denoising Diffusion Refinement Model for Piano Transcription ICASSP
- Yonsei컴퓨터 비전
김선주CIPLab
관련 논문 6편비중 12%- 2026Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors CVPR
- 2026FlowISP: Latent Space ISP Transfer via Conditional Flow Matching CVPR
- 2026Tone-Aware Diffusion : Enabling Tone-on-Tone and Tone-in-Tone Generation CVPR
- KU머신러닝
이병준Decision Making Lab
관련 논문 6편비중 18%- 2026On the Role of Proposal Support in Diffusion-Based Offline RL for Sequential Decision-Making ICML
- 2026Scalable Through Silicon Via Design Optimization Using Diffusion Model ICPRAI
- 2025Adaptive Non-Uniform Timestep Sampling for Diffusion Model Training CVPR
- KAIST컴퓨터 비전
김태균CV & Learning Lab
관련 논문 7편비중 20%- 2026Cascaded Diffusion Framework for Probabilistic Coarse-to-Fine Hand Pose Estimation ECCV
- 2025Egocentric Whole-Body Motion Diffusion with Exemplar-Based Identity Conditioning CVPR
- 2025Joint Learning of Pose Regression and Denoising Diffusion with Score Scaling Sampling for Category-level 6D Pose Estimation ICCV
- POSTECH머신러닝
김동우, 옥정슬, 박상돈, 박은혁ML Lab
관련 논문 8편비중 7%- 2026Analyzing Learning-Dynamics Across Loss and Prediction Choices for Diffusion Models NeurIPS
- 2026A Novel Structure-Preservation Loss for Diffusion-based Image Editing WACV
- 2025Addressing Attribute Leakage in Text Embeddings for Image Editing with Diffusion Models ICCV
- POSTECH그래픽스
이승용, 조성현, 백승환CG Lab
관련 논문 7편비중 9%- 2026Edge-Aware Image Manipulation via Diffusion Models with a Novel Structure-Preservation Loss WACV
- 2025Addressing Attribute Leakage in Text Embeddings for Image Editing with Diffusion Models ICCV
- 2025DC-VSR: Spatially and Temporally Consistent Video Super-Resolution with Video Diffusion Prior SIGGRAPH
- KU머신러닝
정종헌TAIL
관련 논문 6편비중 26%- 2026Margin-aware Preference Optimization for Aligning Diffusion Models without Reference AAAI
- 2026LVMark: Robust Watermark for Latent Video Diffusion Models IEEE TIFS
- 2025DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing ICLR
- SNU컴퓨터 비전
주한별VC Lab
관련 논문 6편비중 21%- 2026Target-Aware Video Diffusion Models ICLR
- 2026GraspDiffusion: Synthesizing Realistic Whole-body Hand-Object Interaction WACV
- 2025DAViD: Modeling Dynamic Affordance of 3D Objects using Pre-trained Video Diffusion Models ICCV
- KAIST머신러닝
최재식SAIL Lab
관련 논문 6편비중 13%- 2026Diffusion Integrated Gradients: Controllable Path Generation for Flexible Feature Attribution ECCV
- 2026Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis ECCV
- 2025Enhancing Creative Generation on Stable Diffusion-based Models CVPR
- KU컴퓨터 비전
박경문VGI Lab
관련 논문 5편비중 11%- 2026OSVE: One Step Video Editing with One Step Diffusion Models ECCV
- 2026Diffusion-Based AI System for Second Language Reading: Development, Text Quality Validation, and Learner Perception Computers & Education
- 2026When to Stop and Which to Return: Trajectory-Level Minimum Bayes Risk Decoding for Diffusion Language Models NeurIPS
- KAISTAI for Science
김우연Intelligent Chemistry Lab
관련 논문 6편비중 17%- 2026FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching ICLR
- 2025Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation ICLR
- 2025Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers ICLR
- KAIST데이터 마이닝
박노성BigDyL
관련 논문 8편비중 11%- 2026Learning Hierarchical Forward Processes For Discrete Diffusion Language Models NeurIPS
- 2025Inductive Influence Estimation and Maximization over Unseen Social Networks under Two Diffusion Models Data Mining and Knowledge Discovery
- 2025TSGM: Regular and Irregular Time-series Generation using Score-based Generative Models IEEE BigData
- SNU컴퓨터 비전
곽노준MIPAL Lab
관련 논문 7편비중 8%- 2026Targeted Data Protection for Diffusion Model by Matching Training Trajectory AAAI
- 2026Unlocking the Potential of Diffusion Language Models through Template Infilling ACL
- 2025ReFlex: Text-Guided Editing of Real Images in Rectified Flow via Mid-Step Feature Extraction and Attention Adaptation ICCV
- Yonsei컴퓨터 비전
이종석MCML Group
관련 논문 4편비중 13%- 2026How diffusion models memorize NeurIPS
- 2026Steering away from memorization: Reachability-constrained reinforcement learning for text-to-image diffusion NeurIPS
- 2026Beyond detection: Analyzing and classifying global and local memorization in diffusion models ICIP
- SNU컴퓨터 비전
박재식Visual & Geometric Intelligence Lab
관련 논문 5편비중 9%- 2026JAM-Flow: Joint Audio-Motion Synthesis with Flow Matching ECCV
- 2026TRACE: Your Diffusion Model is Secretly an Instance Edge Detector ICLR
- 2025Exploring Multimodal Diffusion Transformers for Enhanced Prompt-based Image Editing ICCV
- Yonsei로보틱스
최종은MLCS Lab
관련 논문 4편비중 21%- 2026Multi-Robot Motion Planning from Vision and Language using Heat-Inspired Diffusion IEEE RA-L
- 2026U-DiffPlan: Uncertainty-Aware Trajectory Prediction and Planning via Diffusion for Strategic Autonomous Racing IEEE RA-L
- 2026Symmetry-Aware Steering of Equivariant Diffusion Policies — Benefits and Limits IFAC
- KAIST머신러닝
양은호MLI Lab
관련 논문 6편비중 8%- 2026On the Collapse of Generative Paths: A Criterion and Correction for Diffusion Steering ICML
- 2026Secure Inference for Diffusion Models via Unconditional Scores ICLR
- 2025VQ-FedDiff: Federated Learning Algorithm of Diffusion Models with Client-Specific Vector-Quantized Conditioning TPAMI
- KAIST컴퓨터 비전
심현정CVML Lab
관련 논문 6편비중 12%- 2026Rethinking Direct Preference Optimization in Diffusion Models AAAI
- 2025DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models ICLR
- 2025Scribble-Guided Diffusion for Training-free Text-to-Image Generation ICIP
- Yonsei데이터 마이닝
박상현DELAB
관련 논문 5편비중 11%- 2026PharDiff: Pharmacophore-aware Diffusion Model for Pocket Specific Three-Dimensional Molecular Generation ACM SAC
- 2026TheSelective: Dual Affinity–Guided Diffusion for Selective Molecular Generation PAKDD
- 2025MDVAD: Multimodal Diffusion for Video Anomaly Detection PAKDD
- KAIST머신러닝
김기응AIPR Lab
관련 논문 5편비중 19%- 2026Concept Removal Guidance: Evidence-Calibrated Negative Guidance for Safe Diffusion Sampling ICML
- 2025DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization NeurIPS
- 2025Dynamic VLM-Guided Negative Prompting for Diffusion Models NeurIPS
- SNU머신러닝
이정우CML Lab
관련 논문 4편비중 8%- 2026An Adaptive Sampling Framework for Diffusion-based Dataset Distillation with High Fidelity and Diversity AAAI
- 2026DCGC: Draft-Conditioned Global Correction for Complex Reasoning with Masked Diffusion Models EMNLP
- 2026Beyond Prompts: Preserving Semantics in Diffusion-based Semantic Communication IEEE WCL
- KAIST머신러닝
이기민
관련 논문 6편비중 13%- 2025Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models ICLR
- 2025DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models AAAI
- 2025DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing ICLR
- Yonsei컴퓨터 비전
오유진OMAEL
관련 논문 3편비중 27%연구 분야에 명시- 2025Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics MICCAI
- 2024C-DARL: Contrastive Diffusion Adversarial Representation Learning for Label-free Blood Vessel Segmentation Medical Image Analysis
- 2023Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation ICLR
- SNUAI for Science
이동헌BiLab
관련 논문 4편비중 8%- 2026DRPO: Disentangling Demographic Bias from Rewards for Fair Diffusion Alignment ECCV
- 2026Neutral Reward Filtering for Fair Offline-to-Online Diffusion Alignment ICML
- 2025Ano-Face-Fair: Race-Fair Face Anonymization in Text-to-Image Synthesis using Simple Preference Optimization in Diffusion Model CVPR
- KU컴퓨터 비전
김상필Computer Vision Lab
관련 논문 4편비중 7%- 2026Dynamic-eDiTor: Training-Free Text-Driven 4D Scene Editing with Multimodal Diffusion Transformer CVPR
- 2026Text-Aware Image Restoration with Diffusion Models ICLR
- 2026LVMark: Robust Watermark for latent video diffusion models IEEE TIFS
- Yonsei컴퓨터 비전
박은병V-Lab
관련 논문 4편비중 11%- 2026Improved Residual Learning in Diffusion Models TPAMI
- 2026Partial-Path Rectification in Diffusion Sampling IEEE TMM
- 2025Anti-Exposure Bias in Diffusion Models via Prompt Learning ICLR
- SNU자연어처리·LLM
조요한
관련 논문 3편비중 5%- 2026Knowledge Editing for Masked Diffusion Language Models EMNLP
- 2026Mechanism Shift during Post-training from Autoregressive to Masked Diffusion Language Models EMNLP
- 2026Where Should Diffusion Enter a Language Model? Geometry-Guided Hidden-State Replacement ICML
- KU컴퓨터 비전
최성준AI Imaging Lab
관련 논문 1편비중 100%연구 분야에 명시- 2026Flow Straight to Reality: Perceptually Consistent Flow Matching for Efficient Image Restoration ECCV
- Yonsei자연어처리·LLM
김재형ML3 Lab
관련 논문 3편비중 7%- 2026Renoise Consistency: Unlocking Efficient Self-Correction for Diffusion Large Language Models NeurIPS
- 2026Test-Time Scaling in Diffusion LLMs via Hidden Semi-Autoregressive Experts ICLR
- 2025Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning NeurIPS
- POSTECH컴퓨터 비전
곽수하, 조민수, 손진희CV Lab
관련 논문 4편비중 3%- 2026Universal Image Immunization against Diffusion-based Image Editing via Semantic Injection ECCV
- 2025Generic Event Boundary Detection via Denoising Diffusion ICCV
- 2024ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation NeurIPS
- SNU머신러닝
이원종DRL Lab
관련 논문 1편비중 4%연구 분야에 명시- 2025ReFlex: Text-Guided Editing of Real Images in Rectified Flow via Mid-Step Feature Extraction and Attention Adaptation ICCV
- SNU로보틱스
김현진LARR Lab
관련 논문 4편비중 5%- 2026Efficient Learning-based Path Planning on Receding Horizon with Conditional Flow Matching International Journal of Control, Automation and Systems
- 2025Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models ICML
- 2024SEDiff: Structure Extraction for Domain Adaptive Depth Estimation via Denoising Diffusion Models ECCV
- KAIST머신러닝
오성준STAI Lab
관련 논문 3편비중 7%- 2026When Do Diffusion Models learn to Generate Multiple Objects? ICML
- 2025Diffusion Classifiers Understand Compositionality, but Conditions Apply NeurIPS
- 2025Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse Ensembles ICLR
- SNU컴퓨터 비전
김영민3D Vision Lab
관련 논문 3편비중 6%- 2026Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation ECCV
- 2025BrepDiff: Single-stage B-rep Diffusion Model SIGGRAPH
- 2025Less is More: Improving Motion Diffusion Models with Sparse Keyframes ICCV
- KAIST컴퓨터 비전
노용만IVY Lab
관련 논문 3편비중 4%- 2026Decoding Strategies for Diffusion-Based ASR: A Systematic Evaluation of Confidence-Based Thresholding EMNLP
- 2026Diffusion Large Language Models for Visual Speech Recognition EMNLP
- 2023DiffV2S: Diffusion-based Video-to-Speech Synthesis with Vision-guided Speaker Embedding ICCV
- KUAI for Science
감태의Medical AI Lab
관련 논문 3편비중 4%- 2026PT-Diff: Brain Network Generation with Personalized Topology Guided Conditional Diffusion Transformer ICASSP
- 2025Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging MICCAI
- 2024Solving Blind Inverse Problem in Microscopy: Diffusion-based Zero-shot Isotropic Reconstruction BIBM
- YonseiAI 시스템
김상엽EASY Lab
관련 논문 3편비중 6%- 2025EdgeDiff: 418.4mJ/inference Multi-modal Few-step Diffusion Model Accelerator with Mixed-Precision and Reordered Group-Quantization ISSCC
- 2025EdgeDiff: Energy-Efficient Multi-Modal Few-Step Diffusion Model Accelerator Using Mixed-Precision and Reordered Group Quantization JSSC
- 2025EdgeDiff: Multi-modal Few-step Diffusion Model Accelerator with Mixed-Precision and Reordered Group-Quantization for On-device Generative AI Motivation Hot Chips
- SNU자연어처리·LLM
유영재PI Lab
관련 논문 3편비중 3%- 2025Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation NeurIPS
- 2025DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding ICCV
- 2025V.I.P.: Iterative Online Preference Distillation for Efficient Video Diffusion Models ICCV
- KUAI for Science
서현석IMPEL Lab
관련 논문 2편비중 9%- 2026Cyclic Conditional Diffusion Models for CT-to-MR Synthetic Image Segmentation with Misaligned Image Pairs Expert Systems with Applications
- 2026Deep Probabilistic Multishell Undersampling for Diffusion Spectrum Imaging ISMRM
- Yonsei컴퓨터 비전
전해곤Visual AI Lab
관련 논문 3편비중 7%- 2026Universal Image Immunization against Diffusion-based Image Editing via Semantic Injection ECCV
- 2024Kinetic Typography Diffusion Model ECCV
- 2024SingularTrajectory: Universal Trajectory Predictor using Diffusion Model CVPR
- SNUAI for Science
이종호LIST
관련 논문 2편비중 6%- 2026Diagnostic Value of Susceptibility-Based Imaging and Apparent Diffusion Coefficient for Differentiating Multiple System Atrophy–Parkinsonian Type from Parkinson's Disease Front Aging Neursosci
- 2026The association of apparent myelin water fraction with diffusional kurtosis and biophysical modeling parameters NMR Biomed
- SNUAI for Science
김경수AIBL
관련 논문 2편비중 6%- 2026On the Collapse of Generative Paths: A Criterion and Correction for Diffusion Steering ICML
- 2026TRACE: Your Diffusion Model is Secretly an Instance Edge Detector ICLR
- SNU로보틱스
박종우FCP Robotics Lab
관련 논문 3편비중 14%- 2026Value Gradient Sampler: Learning Invariant Value Functions for Equivariant Diffusion Sampling AISTATS
- 2024Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models NeurIPS
- 2023Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach NeurIPS
- KAIST데이터 마이닝
이재길Data Mining Lab
관련 논문 2편비중 5%- 2026Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling CVPR
- 2026See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis CVPR
- SNU컴퓨터 비전
최종현MPR Lab
관련 논문 2편비중 5%- 2026DBMSolver: A Training-free Diffusion Bridge Sampler for High-Quality Image-to-Image Translation CVPR
- 2026TRACE: Your Diffusion Model is Secretly an Instance Edge Detector ICLR
- Yonsei머신러닝
송경우MLAI Lab
관련 논문 3편비중 4%- 2026DART: Diffusion-based Approach for Predicting Trajectories of Ballistic Missiles Expert Systems with Applications
- 2024Few-Shot PPG Signal Generation via Guided Diffusion Models IEEE Sensors
- 2024C2SDI: Conditional Score-based Diffusion Models with Classifier-free Guidance IJCAI
- SNU데이터 마이닝
강유Data Mining Lab
관련 논문 2편비중 3%- 2026Diffusion Models for Risk-Aware Portfolio Optimization WSDM
- 2026Shift-Tolerant Allocation via Black-Litterman Using Conditional Diffusion Estimates ICLR
- SNU머신러닝
장병탁BI Lab
관련 논문 2편비중 3%- 2026ECAHD: Efficient Collision-Aware Hierarchical Diffusion Navigation ICRA
- 2026Towards Spatially Consistent Image Generation: On Incorporating Intrinsic Scene Properties into Diffusion Models AAAI
- KU로보틱스
최성준Robot Intelligence Lab
관련 논문 3편비중 9%- 2026Adaptive Hilbert Diffusion Models for Controllable Smoothness in Continuous Function Generation Computational Visual Media
- 2024Towards Natural Prosthetic Hand Gestures: A Common-Rig and Diffusion Inpainting Pipeline EMBC
- 2023Score-based Generative Modeling through Stochastic Evolution Equation in Hilbert Spaces NeurIPS
- KAIST머신러닝
이상완AI Brain Lab
관련 논문 3편비중 7%- 2025Inference-time diffusion model distillation ICCV
- 2025Spectral motion alignment for video motion transfer using diffusion models AAAI
- 2023Energy-based cross attention for Bayesian context update in text-to-image diffusion models NeurIPS
- SNU자연어처리·LLM
도재영AIDAS Lab
관련 논문 2편비중 6%- 2026Dynin-Robotics: Omnimodal Unified Diffusion Vision-Language-Action Model NeurIPS
- 2025Don’t Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation NeurIPS
- Yonsei컴퓨터 비전
이상훈Multi-dimensional Insight Lab
관련 논문 3편비중 5%- 2025DMESH: A Structure-Preserving Diffusion Model for 3D Mesh Denoising IEEE TNNLS
- 2024Double Reverse Diffusion for Realistic Garment Reconstruction from Images Engineering Applications of Artificial Intelligence
- 2024Denoising Diffusion for Multi-View Stereo ICEIC
- SNU자연어처리·LLM
정교민MI Lab
관련 논문 2편비중 3%- 2026When i.i.d. Factorization Breaks Language: The Structural Failure of Discrete Diffusion Language Models EMNLP
- 2025Conditional [MASK] Discrete Diffusion Language Model EMNLP
- SNU컴퓨터 비전
조남익ISPL
관련 논문 2편비중 3%- 2026ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs ICLR
- 2025Diffusion on Demand Selective Caching and Modulation for Efficient Generation NeurIPS
- KAIST자연어처리·LLM
서민준LK Lab
관련 논문 2편비중 3%- 2026Early Decisions Matter: Proximity Bias and Initial Trajectory Shaping in Non-Autoregressive Diffusion Language Models ICML
- 2025Dynamic VLM-Guided Negative Prompting for Diffusion Models NeurIPS
- Yonsei머신러닝
이기복Machine Learning Lab
관련 논문 2편비중 11%- 2026AugMask: Training Diffusion Models on Incomplete Tabular Data via Stochastic Augmentation and Masking ICML
- 2024ANT: Adaptive Noise Schedule for Time Series Diffusion Models NeurIPS
- SNUAI for Science
차지욱Connectome Lab
관련 논문 2편비중 6%- 2026Repurposing Image Diffusion Models for Training-Free Music Style Transfer on Mel-Spectrograms ICIP
- 2024White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group Molecular Psychiatry
- SNU머신러닝
김태섭LAAL Lab
관련 논문 2편비중 5%- 2026Preserve and Personalize: Personalized Text-to-Image Diffusion Models without Distributional Drift ICLR
- 2024Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models NeurIPS
- SNU음성·오디오
이교구MARG
관련 논문 2편비중 3%- 2025MGE-LDM: Joint Latent Diffusion for Simultaneous Music Generation and Source Extraction NeurIPS
- 2025Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion ICML
- KAIST머신러닝
정송
관련 논문 2편비중 15%- 2025Diffusion-based Neural Network Weights Generation ICLR
- 2024Preference Alignment with Flow Matching NeurIPS
- KU머신러닝
김성웅, 임성빈AGI Lab
관련 논문 3편비중 9%- 2024Stochastic Optimal Control for Diffusion Bridges in Function Spaces NeurIPS
- 2023Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces NeurIPS
- 2023Score-based Generative Models with Levy Processes NeurIPS
- KU인간-AI 상호작용
서승호HUI
관련 논문 2편비중 3%- 2025RAD: Region-Aware Diffusion Models for Image Inpainting CVPR
- 2024Image Generation of Ultra-Thin Polymer Films Using Diffusion Models from Tensile Testing for Mechanical Failure Prediction ICEIC
- KU머신러닝
Anh TongStochastic Dynamics and Machine Learning Lab
관련 논문 1편비중 11%- 2026Refining Compositional Diffusion for Reliable Long-Horizon Planning NeurIPS
- Yonsei머신러닝
조성배SCLAB
관련 논문 2편비중 3%- 2025AEFA-FDB: A score-based artificial electric field algorithm for optimal reactive power dispatch problem with renewable and load demand uncertainties Applied Soft Computing
- 2023GREAD: Graph Neural Reaction-Diffusion Networks ICML
- KAIST로보틱스
박대형RIRO Lab
관련 논문 1편비중 7%- 2026DiSPo: Diffusion-SSM based Policy Learning for Coarse-to-Fine Action Discretization ICRA
- SNUAI 시스템
유승주CMA Lab
관련 논문 1편비중 6%- 2026EntropyCache: Decoded Token Entropy Guided KV Caching for Diffusion Language Models NeurIPS
- KU머신러닝
성준경BREIN Lab
관련 논문 1편비중 6%- 2026A peak-oriented diffusion model for high-fidelity electrocardiogram reconstruction from photoplethysmogram: development and usability study BioData Mining
- SNU로보틱스
오성회Robot Learning Lab
관련 논문 2편비중 5%- 2024Adversarial Environment Design via Regret-Guided Diffusion Models NeurIPS
- 2024Scene Generation for Object Rearrangement with Latent Diffusion Models ICCAS
- KAIST데이터 마이닝
황지영Big Data Intelligence Lab
관련 논문 1편비중 5%- 2026Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion ICML
- Yonsei로보틱스
이용현RoPhi Lab
관련 논문 1편비중 5%- 2026Zero-Shot Scene Geometry Recognition from Sparse Partial-View Images: Leveraging Generative Diffusion Models for Robotic Manipulation Tasks IEEE RA-L
- SNU머신러닝
양인순LDS Lab
관련 논문 1편비중 4%- 2026AdaptFlow: State-achored modulation with flow matching for offline goal-conditioned RL NeurIPS
- SNU데이터 마이닝
박현우DIAL Lab
관련 논문 1편비중 3%- 2026AISFlow: Boundary-Informed Flow Matching for Long-Term AIS Trajectory Imputation ICML
- SNU머신러닝
이상학Causality Lab
관련 논문 1편비중 3%- 2026Breaking Bad: Component-Wise Parent Deletion for Score-Based Causal Discovery UAI
- SNUAI 시스템
이재욱ARC Lab
관련 논문 1편비중 3%- 2026MAGE: All-[MASK] Block Already Knows Where to Look in Block Diffusion LLM NeurIPS
- SNU머신러닝
홍영준MLSC Lab
관련 논문 1편비중 3%- 2026Error as Signal: Stiffness-Aware Diffusion Sampling via Embedded Runge-Kutta Guidance ICLR
- KAIST머신러닝
성영철SISReL
관련 논문 1편비중 3%- 2026Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning ICLR
- SNU데이터 마이닝
강필성DSBA Lab
관련 논문 1편비중 2%- 2026Memory Bank-Guided Diffusion Model for Lightweight Anomaly Detection Applied Soft Computing
- SNUAI 시스템
안정호SCALable Computer Architecture Lab
관련 논문 1편비중 2%- 2026DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention ICML
- KU컴퓨터 비전
김동현UTL Lab
관련 논문 1편비중 2%- 2026Self-Improving Diffusion Classifiers with Minority Preference Optimization ECCV
- Yonsei머신러닝
한동준Edge AI Lab
관련 논문 1편비중 2%- 2026Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning NeurIPS
- SNUAI for Science
손석우Weather and Climate Dynamics Lab
관련 논문 1편비중 1%- 2026A spectral test of the butterfly effect and physical consistency in the diffusion-based GenCast's ensemble npj Climate and Atmospheric Science
- YonseiAI for Science2026 업데이트 중
남호정BIIL
관련 논문 1편비중 8%- 2025A genotype-to-drug diffusion model for generation of tailored anti-cancer small molecules Nature Communications
- KAIST로보틱스2026 업데이트 중
김범준HuGe Lab
관련 논문 1편비중 8%- 2025PRESTO: Fast motion planning using diffusion models based on key-configuration environment representation ICRA
- POSTECH컴퓨터 비전
김광인MLV Group
관련 논문 1편비중 8%- 2025Diffusion-based active learning for distributed client manifolds AAAI
- SNUAI 시스템
김재준VLSI Lab
관련 논문 2편비중 4%- 2023Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis NeurIPS
- 2023Squeezing Large-Scaling Diffusion Models for Mobile ICML
- POSTECH머신러닝
박상돈Trustworthy ML Lab
관련 논문 1편비중 5%- 2025Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning ICCV
- Yonsei머신러닝
권태경AI Security Lab
관련 논문 1편비중 5%- 2025LeakGuard: Detecting and Mitigating Attribute Leakage in Fine-Tuned Diffusion Models WISA
- Yonsei데이터 마이닝
김하영MLCF Lab
관련 논문 1편비중 4%- 2025DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model Pattern Recognition Letters
- SNU머신러닝2026 업데이트 중
강명주NCIA Lab
관련 논문 1편비중 3%- 2025Leveraging Prior Knowledge of Diffusion Model for Person Search ICCV
- SNU로보틱스
김아영RPM Lab
관련 논문 1편비중 3%- 2025TIR-Diffusion: Diffusion-based Thermal Infrared Image Denoising via Latent and Wavelet Domain Optimization ICRA
- POSTECH음성·오디오
서영주AIoT Lab
관련 논문 1편비중 3%- 2025HyFLM: A Hypernetwork-Based Federated Learning with Multidimensional Trajectory Optimization on Diffusion Paths Electronics
- SNUAI for Science
김덕진SatGeo Lab
관련 논문 1편비중 2%- 2025Enhancing MIMO Radar Data Quality via Stereo-Camera-Guided Diffusion Models IEEE Sensors Journal
- KAIST데이터 마이닝
박찬영DSAIL
관련 논문 1편비중 1%- 2025Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning ICLR
- KAIST데이터 마이닝
신기정Data Mining Lab
관련 논문 1편비중 1%- 2025Inductive Influence Estimation and Maximization over Unseen Social Networks under Two Diffusion Models Data Mining and Knowledge Discovery
- KAIST자연어처리·LLM
오혜연U&I Lab
관련 논문 1편비중 1%- 2025Diffusion Models Through a Global Lens: Are They Culturally Inclusive? ACL
- Yonsei자연어처리·LLM
여진영Language & AGI Lab
관련 논문 1편비중 2%- 2025Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning NeurIPS
- Yonsei자연어처리·LLM
이동하DLI Lab
관련 논문 1편비중 2%- 2025Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning NeurIPS
- Yonsei머신러닝
권도현PDE & AI Lab
관련 논문 1편비중 7%- 2024Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models NeurIPS
- KAISTAI 시스템
유민수VIA Research Group
관련 논문 1편비중 4%- 2024Characterization and Analysis of Text-to-Image Diffusion Models IEEE Computer Architecture Letters
- KU음성·오디오
김찬우SLPL
관련 논문 1편비중 4%- 2024Physics Informed Distillation for Diffusion Models TMLR
- SNUAI for Science
김선BHI Lab
관련 논문 1편비중 2%- 2024DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization AAAI
- KAIST컴퓨터 비전
윤성의SGVR Lab
관련 논문 1편비중 2%- 2024SemCity: Semantic Scene Generation with Triplane Diffusion CVPR
- SNUAI for Science
백민경Laboratory of Computational Structural and Systems Biology
관련 논문 1편비중 7%- 2023De novo design of protein structure and function with RFdiffusion Nature