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1. KAIST·AI for Science

   예종철BISPL

   관련도관련 논문 54편비중 47%
   • 2026Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion ModelsNeurIPS
   • 2026Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion ModelsICML
   • 2026ContrastiveCFG: Guiding Diffusion Sampling by Contrasting Positive and Negative ConceptsICML
2. KAIST·컴퓨터 비전

   김승룡CV Lab

   관련도관련 논문 32편비중 28%
   • 2026A Noise is Worth Diffusion GuidanceICLR
   • 2026APPLE: Attribute-Preserving Pseudo-Labeling for Diffusion-Based Face SwappingCVPR
   • 2026Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow MatchingNeurIPS
3. SNU·컴퓨터 비전

   전세영ICL

   관련도관련 논문 19편비중 28%연구 분야에 명시
   • 2026Erasing Thousands of Concepts: Towards Scalable and Practical Concept Erasure for Text-to-Image Diffusion ModelsCVPR
   • 2026Patch-to-Global: Random Patch Diffusion for Globally Consistent Megapixel Artifact Inpainting in Whole Slide ImagesMICCAI
   • 2026Training-free Mixed-Resolution Latent Upsampling for Spatially Accelerated Diffusion TransformersCVPR
4. KAIST·머신러닝

   신진우ALIN Lab

   관련도관련 논문 20편비중 16%
   • 2026AtomMOF: All-Atom Flow Matching for MOF-Adsorbate Structure PredictionNeurIPS
   • 2026Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action ModelICML
   • 2026Example-Based Spatial Guidance for Training-Free Concept Erasure in Diffusion ModelsNeurIPS
5. KAIST·컴퓨터 비전

   성민혁Visual AI Group

   관련도관련 논문 15편비중 33%
   • 2026Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete DiffusionNeurIPS
   • 2026DiffusionRollout: Uncertainty-Aware Rollout Planning in Long-Horizon PDE SolvingTMLR
   • 2026MUNI: Multimodal Unified Latent Diffusion for Coherent Any-to-Any GenerationNeurIPS
6. Yonsei·머신러닝

   노승문AI-ISL

   관련도관련 논문 10편비중 27%연구 분야에 명시
   • 2026A Theoretical Analysis of Why Masked Diffusion Models Mitigate the Reversal CurseNeurIPS
   • 2026A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language ModelsICLR
   • 2026Dependency-Aware Parallel Decoding via Attention for Diffusion LLMsICML
7. SNU·컴퓨터 비전

   이준석VIP Lab

   관련도관련 논문 12편비중 21%연구 분야에 명시
   • 2026Efficient Adjoint Matching for Fine-tuning Diffusion ModelsNeurIPS
   • 2026Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge MatchingICML
   • 2026Equivariant Latent Alignment via Flow Matching under Group SymmetriesICML
8. KAIST·음성·오디오

   정준선Multimodal AI Lab

   관련도관련 논문 15편비중 16%
   • 2026Diffusion-Link: Diffusion Probabilistic Model for Bridging the Audio-Text Modality GapICASSP
   • 2026DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and SynchronizationCVPR
   • 2026LP-CFM: Perceptual Invariance-Aware Conditional Flow Matching for Speech ModelingICASSP
9. KAIST·머신러닝

   문일철AAI Lab

   관련도관련 논문 11편비중 28%연구 분야에 명시
   • 2026AC-Sampler: Accelerate and Correct Diffusion Sampling with Metropolis-Hastings AlgorithmICLR
   • 2026Best-of-$N$ Guidance for Test-time Diffusion AlignmentNeurIPS
   • 2026Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion ModelsICML
10. Yonsei·컴퓨터 비전

    어영정Visual Intelligence Lab

    관련도관련 논문 10편비중 38%연구 분야에 명시
    • 2026JAM-Flow: Joint Audio-Motion Synthesis with Flow MatchingECCV
    • 2026MVCustom: Multi-View Customized Diffusion via Geometric Latent Rendering and CompletionICLR
    • 2026Syncphony: Synchronized Audio-to-Video Generation with Diffusion TransformersICLR
11. KAIST·머신러닝

    윤세영OSI Lab

    관련도관련 논문 12편비중 8%
    • 2026BASTION: Budget-Aware Speculative Decoding with Tree-structured Block Diffusion DraftingNeurIPS
    • 2026MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion ModelsNeurIPS
    • 2026Pivot-SD: Efficient Self-Distillation for Masked Diffusion Language ModelsEMNLP
12. KAIST·머신러닝

    이주호SIML Lab

    관련도관련 논문 12편비중 15%
    • 2026Coarse-to-fine compositional diffusion for long-horizon planningNeurIPS
    • 2026Example-based spatial guidance for training-free concept erasure in diffusion modelsNeurIPS
    • 2026Riemannian diffusion models on general manifolds via physics-informed neural networksICML
13. KU·머신러닝

    이성환PRML Lab

    관련도관련 논문 14편비중 8%
    • 2026ImmersiveTTS: Environment-Aware Text-to-Speech with Multimodal Diffusion Transformer and Domain-Specific Representation AlignmentACL
    • 2026Domain Transfer Learning for Multi-class EEG Decoding Based on Lateral Feature Connected Diffusion ModelExpert Systems with Applications
    • 2025Counterfactual Explanation Through Latent Adjustment in Disentangled Space of Diffusion ModelIEEE TNNLS
14. KAIST·AI 시스템

    김주영CAST Lab

    관련도관련 논문 10편비중 15%
    • 2026A 11.0 TOPS/W Diffusion Accelerator with Temporal Data Reuse for Real-Time Text-to-Motion GenerationJSSC
    • 2026APT: Accelerating Diffusion Transformers via Attention Probability-Guided Pruning and QuantizationICCAD
    • 2026MASQ: Accelerating Masked Diffusion via Stage-Wise Multi-Precision QuantizationDAC
15. SNU·컴퓨터 비전

    이경무, 한보형CV Lab

    관련도관련 논문 9편비중 10%연구 분야에 명시
    • 2026Bridging the Distribution Gap to Harness Pretrained Diffusion Priors for Super-ResolutionICLR
    • 2026Image Diffusion Preview with Consistency SolverCVPR
    • 2026Optimizing Diffusion Samplers via Dynamic PreferenceECCV
16. KAIST·머신러닝

    안성수SPML Lab

    관련도관련 논문 10편비중 21%
    • 2026AtomMOF: All-Atom Flow Matching for MOF-Adsorbate Structure PredictionNeurIPS
    • 2026CatFlow: Co-generation of Slab-Adsorbate Systems via Flow MatchingICML
    • 2026Learning Flexible Forward Trajectories for Masked Molecular DiffusionICLR
17. KAIST·머신러닝

    안성진MLML

    관련도관련 논문 9편비중 30%
    • 2026Extendable Planning via Multiscale DiffusionAAAI
    • 2026Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling WallICLR
    • 2026Inference-Time Scaling in Diffusion Models through Iterative Partial RefinementICLR
18. POSTECH·AI for Science

    김원화, 류일우MIP Lab

    관련도관련 논문 11편비중 15%
    • 2026Spherical RePaint: Label-Reusable Diffusion-Based Augmentation for ParcellationShapeMI
    • 2025Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease StudiesICLR
    • 2025Conditional Graph Diffusion with Topological Constraints for Brain Network GenerationMICCAI
19. KAIST·컴퓨터 비전

    김승욱GLOW Lab

    관련도관련 논문 8편비중 57%
    • 2026Direct Diffusion Score Preference Optimization via Stepwise Contrastive Policy-Pair SupervisionECCV
    • 2025Random Conditioning with Distillation for Data-Efficient Diffusion Model CompressionCVPR
    • 2024Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion ModelsCVPR
20. SNU·머신러닝

    윤성로AI Lab

    관련도관련 논문 9편비중 8%
    • 2026Diagnosing and Correcting Concept Omission in Multimodal Diffusion TransformersICML
    • 2026Exploring the Transformer-based and Diffusion-based Models for Single Image DeblurringJournal of Visual Communication and Image Representation
    • 2025DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual InspectionCVPR
21. Yonsei·컴퓨터 비전

    황성재MICV Lab

    관련도관련 논문 7편비중 16%
    • 2026Controlling Motion Transfer in Diffusion Transformers via Attention HeadsECCV
    • 2026Interpretable Motion Attentive Maps: Spatio-Temporally Localizing Concepts in Video Diffusion TransformersCVPR
    • 2026Mitigating Mask Prior Drift and Positional Attention Collapse in Large Diffusion Vision-Language ModelsICML
22. KAIST·머신러닝

    황성주MLAI Lab

    관련도관련 논문 11편비중 11%
    • 2026Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion ModelICLR
    • 2025Continuous Diffusion Model for Language ModelingNeurIPS
    • 2025Diffusion-based Neural Network Weights GenerationICLR
23. KAIST·컴퓨터 비전

    홍승훈Vision and Learning Lab

    관련도관련 논문 6편비중 16%
    • 2026Infinite Mask Diffusion for Few-Step DistillationICML
    • 2026Inverting Data Transformations via Diffusion SamplingICML
    • 2026Root-Selecting Fixed-Point Inversion for Rectified Flows via Trajectory StraightnessNeurIPS
24. KU·AI for Science

    석흥일Machine Intelligence Lab

    관련도관련 논문 7편비중 13%
    • 2026Causal Manifold Transport for Identifiable Causal Generation in Diffusion ModelsIJCAI
    • 2026Deconstructing Guidance: A Semantic Hierarchy for Precise Diffusion Model EditingICLR
    • 2026PaT-Diff: Pathology-Aware Residual Diffusion Framework for MRI-to-PET Translation in Alzheimer's DiseaseISBI
25. KAIST·머신러닝

    박진규System Intelligence Lab

    관련도관련 논문 7편비중 13%
    • 2026Diffusion Alignment as Variational Expectation-MaximizationICLR
    • 2026Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-FunctionICLR
    • 2026Traffic Network Layout Optimization with Guided Discrete Diffusion ModelsWSDM
26. KAIST·컴퓨터 비전

    윤국진VI Lab

    관련도관련 논문 7편비중 6%
    • 2026FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion ModelECCV
    • 2026GeoNVS: Geometry Grounded Video Diffusion for Novel View SynthesisECCV
    • 2026ReSplat: Degradation-agnostic Feed-forward Gaussian Splatting via Self-guided Residual DiffusionICLR
27. KAIST·컴퓨터 비전

    김현우MLV Lab

    관련도관련 논문 8편비중 11%
    • 2026Error as Signal: Stiffness-Aware Diffusion Sampling via Embedded Runge-Kutta GuidanceICLR
    • 2026SPRINT: Sparse-Dense Residual Fusion for Efficient Diffusion TransformersICLR
    • 2025Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality GenerationNeurIPS
28. KAIST·컴퓨터 비전

    김준모SIIT Lab

    관련도관련 논문 8편비중 10%
    • 2026ConceptPrism: Concept Disentanglement in Personalized Diffusion Models via Residual Token OptimizationCVPR
    • 2026HyperVAttention: Efficient Sparse Attention with Spatio-Temporal Clustering for Video DiffusionNeurIPS
    • 2025DMQ: Dissecting Outliers of Diffusion Models for Post-Training QuantizationICCV
29. KAIST·컴퓨터 비전

    오태현AMI Lab

    관련도관련 논문 7편비중 7%
    • 2026Early Failure Detection and Intervention in Video Diffusion ModelsNeurIPS
    • 2026Measurement-Consistent Langevin Corrector for Stabilizing Latent Diffusion Inverse Problem SolversICML
    • 2025AlignDiT: Multimodal Aligned Diffusion Transformer for Synchronized Speech GenerationACM MM
30. KAIST·컴퓨터 비전

    주재걸DAVIAN Lab

    관련도관련 논문 8편비중 6%
    • 2026Memory-Efficient Fine-Tuning Diffusion Transformer via Dynamic Patch Sampling and Block SkippingCVPR
    • 2025Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMsEMNLP
    • 2025Spatiotemporal Skip Guidance for Enhanced Video Diffusion SamplingCVPR
31. KAIST·음성·오디오

    남주한MAC Lab

    관련도관련 논문 8편비중 9%
    • 2026D3PIA: A Discrete Denoising Diffusion Model for Piano Accompaniment Generation from Lead sheetICASSP
    • 2026Melody-Aware & Total Duration Preserving Singing Voice Editing with Flow Matching InfillingINTERSPEECH
    • 2025D3RM: A Discrete Denoising Diffusion Refinement Model for Piano TranscriptionICASSP
32. Yonsei·컴퓨터 비전

    김선주CIPLab

    관련도관련 논문 6편비중 12%
    • 2026Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion PriorsCVPR
    • 2026FlowISP: Latent Space ISP Transfer via Conditional Flow MatchingCVPR
    • 2026Tone-Aware Diffusion : Enabling Tone-on-Tone and Tone-in-Tone GenerationCVPR
33. KU·머신러닝

    이병준Decision Making Lab

    관련도관련 논문 6편비중 18%
    • 2026On the Role of Proposal Support in Diffusion-Based Offline RL for Sequential Decision-MakingICML
    • 2026Scalable Through Silicon Via Design Optimization Using Diffusion ModelICPRAI
    • 2025Adaptive Non-Uniform Timestep Sampling for Diffusion Model TrainingCVPR
34. KAIST·컴퓨터 비전

    김태균CV & Learning Lab

    관련도관련 논문 7편비중 20%
    • 2026Cascaded Diffusion Framework for Probabilistic Coarse-to-Fine Hand Pose EstimationECCV
    • 2025Egocentric Whole-Body Motion Diffusion with Exemplar-Based Identity ConditioningCVPR
    • 2025Joint Learning of Pose Regression and Denoising Diffusion with Score Scaling Sampling for Category-level 6D Pose EstimationICCV
35. POSTECH·머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련도관련 논문 8편비중 7%
    • 2026Analyzing Learning-Dynamics Across Loss and Prediction Choices for Diffusion ModelsNeurIPS
    • 2026A Novel Structure-Preservation Loss for Diffusion-based Image EditingWACV
    • 2025Addressing Attribute Leakage in Text Embeddings for Image Editing with Diffusion ModelsICCV
36. POSTECH·그래픽스

    이승용, 조성현, 백승환CG Lab

    관련도관련 논문 7편비중 9%
    • 2026Edge-Aware Image Manipulation via Diffusion Models with a Novel Structure-Preservation LossWACV
    • 2025Addressing Attribute Leakage in Text Embeddings for Image Editing with Diffusion ModelsICCV
    • 2025DC-VSR: Spatially and Temporally Consistent Video Super-Resolution with Video Diffusion PriorSIGGRAPH
37. KU·머신러닝

    정종헌TAIL

    관련도관련 논문 6편비중 26%
    • 2026Margin-aware Preference Optimization for Aligning Diffusion Models without ReferenceAAAI
    • 2026LVMark: Robust Watermark for Latent Video Diffusion ModelsIEEE TIFS
    • 2025DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image EditingICLR
38. SNU·컴퓨터 비전

    주한별VC Lab

    관련도관련 논문 6편비중 21%
    • 2026Target-Aware Video Diffusion ModelsICLR
    • 2026GraspDiffusion: Synthesizing Realistic Whole-body Hand-Object InteractionWACV
    • 2025DAViD: Modeling Dynamic Affordance of 3D Objects using Pre-trained Video Diffusion ModelsICCV
39. KAIST·머신러닝

    최재식SAIL Lab

    관련도관련 논문 6편비중 13%
    • 2026Diffusion Integrated Gradients: Controllable Path Generation for Flexible Feature AttributionECCV
    • 2026Unified Backbone Refinement for Diffusion Models via Internal-Latent AnalysisECCV
    • 2025Enhancing Creative Generation on Stable Diffusion-based ModelsCVPR
40. KU·컴퓨터 비전

    박경문VGI Lab

    관련도관련 논문 5편비중 11%
    • 2026OSVE: One Step Video Editing with One Step Diffusion ModelsECCV
    • 2026Diffusion-Based AI System for Second Language Reading: Development, Text Quality Validation, and Learner PerceptionComputers & Education
    • 2026When to Stop and Which to Return: Trajectory-Level Minimum Bayes Risk Decoding for Diffusion Language ModelsNeurIPS
41. KAIST·데이터 마이닝

    박노성BigDyL

    관련도관련 논문 8편비중 11%
    • 2026Learning Hierarchical Forward Processes For Discrete Diffusion Language ModelsNeurIPS
    • 2025Inductive Influence Estimation and Maximization over Unseen Social Networks under Two Diffusion ModelsData Mining and Knowledge Discovery
    • 2025TSGM: Regular and Irregular Time-series Generation using Score-based Generative ModelsIEEE BigData
42. KAIST·AI for Science

    김우연Intelligent Chemistry Lab

    관련도관련 논문 6편비중 17%
    • 2026FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow MatchingICLR
    • 2025Discrete Diffusion Schrödinger Bridge Matching for Graph TransformationICLR
    • 2025Transition Path Sampling with Improved Off-Policy Training of Diffusion Path SamplersICLR
43. SNU·컴퓨터 비전

    곽노준MIPAL Lab

    관련도관련 논문 7편비중 8%
    • 2026Targeted Data Protection for Diffusion Model by Matching Training TrajectoryAAAI
    • 2026Unlocking the Potential of Diffusion Language Models through Template InfillingACL
    • 2025ReFlex: Text-Guided Editing of Real Images in Rectified Flow via Mid-Step Feature Extraction and Attention AdaptationICCV
44. Yonsei·컴퓨터 비전

    이종석MCML Group

    관련도관련 논문 4편비중 13%
    • 2026How diffusion models memorizeNeurIPS
    • 2026Steering away from memorization: Reachability-constrained reinforcement learning for text-to-image diffusionNeurIPS
    • 2026Beyond detection: Analyzing and classifying global and local memorization in diffusion modelsICIP
45. SNU·컴퓨터 비전

    박재식Visual & Geometric Intelligence Lab

    관련도관련 논문 5편비중 9%
    • 2026JAM-Flow: Joint Audio-Motion Synthesis with Flow MatchingECCV
    • 2026TRACE: Your Diffusion Model is Secretly an Instance Edge DetectorICLR
    • 2025Exploring Multimodal Diffusion Transformers for Enhanced Prompt-based Image EditingICCV
46. Yonsei·로보틱스

    최종은MLCS Lab

    관련도관련 논문 4편비중 21%
    • 2026Multi-Robot Motion Planning from Vision and Language using Heat-Inspired DiffusionIEEE RA-L
    • 2026U-DiffPlan: Uncertainty-Aware Trajectory Prediction and Planning via Diffusion for Strategic Autonomous RacingIEEE RA-L
    • 2026Symmetry-Aware Steering of Equivariant Diffusion Policies — Benefits and LimitsIFAC
47. KAIST·머신러닝

    양은호MLI Lab

    관련도관련 논문 6편비중 8%
    • 2026On the Collapse of Generative Paths: A Criterion and Correction for Diffusion SteeringICML
    • 2026Secure Inference for Diffusion Models via Unconditional ScoresICLR
    • 2025VQ-FedDiff: Federated Learning Algorithm of Diffusion Models with Client-Specific Vector-Quantized ConditioningTPAMI
48. KAIST·컴퓨터 비전

    심현정CVML Lab

    관련도관련 논문 6편비중 12%
    • 2026Rethinking Direct Preference Optimization in Diffusion ModelsAAAI
    • 2025DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion ModelsICLR
    • 2025Scribble-Guided Diffusion for Training-free Text-to-Image GenerationICIP
49. Yonsei·데이터 마이닝

    박상현DELAB

    관련도관련 논문 5편비중 11%
    • 2026PharDiff: Pharmacophore-aware Diffusion Model for Pocket Specific Three-Dimensional Molecular GenerationACM SAC
    • 2026TheSelective: Dual Affinity–Guided Diffusion for Selective Molecular GenerationPAKDD
    • 2025MDVAD: Multimodal Diffusion for Video Anomaly DetectionPAKDD
50. KAIST·머신러닝

    김기응AIPR Lab

    관련도관련 논문 5편비중 19%
    • 2026Concept Removal Guidance: Evidence-Calibrated Negative Guidance for Safe Diffusion SamplingICML
    • 2025DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy OptimizationNeurIPS
    • 2025Dynamic VLM-Guided Negative Prompting for Diffusion ModelsNeurIPS
51. SNU·머신러닝

    이정우CML Lab

    관련도관련 논문 4편비중 8%
    • 2026An Adaptive Sampling Framework for Diffusion-based Dataset Distillation with High Fidelity and DiversityAAAI
    • 2026DCGC: Draft-Conditioned Global Correction for Complex Reasoning with Masked Diffusion ModelsEMNLP
    • 2026Beyond Prompts: Preserving Semantics in Diffusion-based Semantic CommunicationIEEE WCL
52. KAIST·머신러닝

    이기민

    관련도관련 논문 6편비중 13%
    • 2025Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion ModelsICLR
    • 2025DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion ModelsAAAI
    • 2025DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image EditingICLR
53. Yonsei·컴퓨터 비전

    오유진OMAEL

    관련도관련 논문 3편비중 27%연구 분야에 명시
    • 2025Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from DemographicsMICCAI
    • 2024C-DARL: Contrastive Diffusion Adversarial Representation Learning for Label-free Blood Vessel SegmentationMedical Image Analysis
    • 2023Diffusion Adversarial Representation Learning for Self-supervised Vessel SegmentationICLR
54. SNU·AI for Science

    이동헌BiLab

    관련도관련 논문 4편비중 8%
    • 2026DRPO: Disentangling Demographic Bias from Rewards for Fair Diffusion AlignmentECCV
    • 2026Neutral Reward Filtering for Fair Offline-to-Online Diffusion AlignmentICML
    • 2025Ano-Face-Fair: Race-Fair Face Anonymization in Text-to-Image Synthesis using Simple Preference Optimization in Diffusion ModelCVPR
55. KU·컴퓨터 비전

    김상필Computer Vision Lab

    관련도관련 논문 4편비중 7%
    • 2026Dynamic-eDiTor: Training-Free Text-Driven 4D Scene Editing with Multimodal Diffusion TransformerCVPR
    • 2026Text-Aware Image Restoration with Diffusion ModelsICLR
    • 2026LVMark: Robust Watermark for latent video diffusion modelsIEEE TIFS
56. Yonsei·컴퓨터 비전

    박은병V-Lab

    관련도관련 논문 4편비중 11%
    • 2026Improved Residual Learning in Diffusion ModelsTPAMI
    • 2026Partial-Path Rectification in Diffusion SamplingIEEE TMM
    • 2025Anti-Exposure Bias in Diffusion Models via Prompt LearningICLR
57. SNU·자연어처리·LLM

    조요한

    관련도관련 논문 3편비중 5%
    • 2026Knowledge Editing for Masked Diffusion Language ModelsEMNLP
    • 2026Mechanism Shift during Post-training from Autoregressive to Masked Diffusion Language ModelsEMNLP
    • 2026Where Should Diffusion Enter a Language Model? Geometry-Guided Hidden-State ReplacementICML
58. KU·컴퓨터 비전

    최성준AI Imaging Lab

    관련도관련 논문 1편비중 100%연구 분야에 명시
    • 2026Flow Straight to Reality: Perceptually Consistent Flow Matching for Efficient Image RestorationECCV
59. Yonsei·자연어처리·LLM

    김재형ML3 Lab

    관련도관련 논문 3편비중 7%
    • 2026Renoise Consistency: Unlocking Efficient Self-Correction for Diffusion Large Language ModelsNeurIPS
    • 2026Test-Time Scaling in Diffusion LLMs via Hidden Semi-Autoregressive ExpertsICLR
    • 2025Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuningNeurIPS
60. POSTECH·컴퓨터 비전

    곽수하, 조민수, 손진희CV Lab

    관련도관련 논문 4편비중 3%
    • 2026Universal Image Immunization against Diffusion-based Image Editing via Semantic InjectionECCV
    • 2025Generic Event Boundary Detection via Denoising DiffusionICCV
    • 2024ActFusion: a Unified Diffusion Model for Action Segmentation and AnticipationNeurIPS

+73

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.