· 컴퓨터 비전
성민혁 Visual AI Group 관련도 관련 논문 5편 비중 11% 연구 분야에 명시
2026 DiverseVAR: Balancing Diversity and Quality of Next-Scale Visual Autoregressive Models ECCV 2026 Drifting Field Policy: A One-Step Generative Policy via Wasserstein Gradient Flow NeurIPS 2026 BoxSplitGen: A Generative Model for 3D Part Bounding Boxes in Varying Granularity WACV 관련도 관련 논문 7편 비중 6% 연구 분야에 명시
2026 Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models NeurIPS 2026 Aligning Few-Step Generative Model via Amortizing Sample-Based Variational Inference NeurIPS 2025 Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversion European Journal of Radiology 관련도 관련 논문 6편 비중 8% 연구 분야에 명시
2026 ENC-ODE: Event-level Neurodegenerative Modeling in Continuous Time with Neural ODEs MICCAI 2025 Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies ICLR 2025 HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining ICLR 관련도 관련 논문 5편 비중 9% 연구 분야에 명시
2026 Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge Matching ICML 2025 Diff4Steer: Steerable Diffusion Prior for Generative Music Retrieval with Semantic Guidance ICASSP 2025 SummDiff: Generative Modeling of Video Summarization with Diffusion ICCV 관련도 관련 논문 5편 비중 4% 연구 분야에 명시
2026 Speculative Coupled Decoding for Training-Free Lossless Acceleration of Autoregressive Visual Generation ICML 2025 Grouped Speculative Decoding for Autoregressive Image Generation ICCV 2025 Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking NeurIPS · 머신러닝
박진규 System Intelligence Lab 관련도 관련 논문 5편 비중 10% 연구 분야에 명시
2025 Generative Flows on Synthetic Pathways for Drug Design ICLR 2025 PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization NeurIPS 2024 GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning NeurIPS 관련도 관련 논문 6편 비중 6%
2026 IdeaBlocks: Expressing and Reusing Divergent Intents for Graphic Design Exploration using Generative AI DIS 2026 IntentFlow: Investigating Fluid Dynamics of Intent Communication in Generative AI DIS 2025 IdeaBlocks: Expressing and Reusing Exploratory Intents for Design Exploration with Generative AI UIST · 음성·오디오
정준선 Multimodal AI Lab 관련도 관련 논문 5편 비중 5%
2026 MAGE: A Coarse-to-Fine Speech Enhancer with Masked Generative Model ICASSP 2026 Semantic-VAE: Semantic-Alignment Latent Representation for Better Speech Synthesis INTERSPEECH 2026 WAND: Windowed Attention and Knowledge Distillation for Efficient Autoregressive Text-to-Speech Models INTERSPEECH 관련도 관련 논문 3편 비중 3% 연구 분야에 명시
2026 Improving Black-Box Generative Attacks via Generator Semantic Consistency ICLR 2025 Generative Active Learning for Long-tail Trajectory Prediction via Controllable Diffusion Model ICCV 2025 Boosting Adversarial Transferability with a Generative Model Perspective CVPR 관련도 관련 논문 5편 비중 4%
2026 Vid-CamEdit: Video Camera Trajectory Editing with Generative Rendering from Estimated Geometry AAAI 2026 VideoMaMa: Mask-Guided Video Matting via Generative Prior CVPR 2026 WorldCam: Interactive Autoregressive 3D Gaming Worlds with Camera Pose as a Unifying Geometric Representation CVPR · AI for Science
김우연 Intelligent Chemistry Lab 관련도 관련 논문 6편 비중 17%
2026 Harnessing generative AI for efficient organic materials discovery in low-data regimes Digital Discovery 2025 Generative Flows on Synthetic Pathway for Drug Design ICLR 2024 3D molecular generative framework for interaction-guided drug design Nature Communications 관련도 관련 논문 5편 비중 6%
2026 Discriminative Score Function: Turning Pretrained Models into Functional Generative Priors NeurIPS 2026 Zero-Shot Quantization for Object Detectors using Off-the-Shelf Generative Models ECCV 2026 Focus enhancement for image-based overlay metrology targets via generative models Journal of Micro/Nanopatterning, Materials, and Metrology 관련도 관련 논문 3편 비중 4% 연구 분야에 명시
2026 FastSTAR: Spatiotemporal Token Pruning for Efficient Autoregressive Video Synthesis ECCV 2025 Adelia: A 4nm LLM Accelerator with Streamlined Dataflow and Dual-Mode Parallelization for Efficient Generative AI Inference VLSI Symposium 2023 HyperAccel LPU: Accelerating Hyperscale Models for Generative AI Hot Chips 관련도 관련 논문 3편 비중 3% 연구 분야에 명시
2026 FoMo: Forking Moment in Generative Trajectory as a Perceptual Distance NeurIPS 2025 Diffusion-Stego: Training-free diffusion generative steganography via message projection Information Sciences 2023 Real-world Prediction of Preclinical Alzheimer’s Disease with a Deep Generative Model Artificial Intelligence in Medicine 관련도 관련 논문 3편 비중 11% 연구 분야에 명시
2025 ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions CVPR 2025 PERSE: Personalized 3D Generative Avatars from A Single Portrait CVPR 2024 PEGASUS: Personalized Generative 3D Avatars with Composable Attributes CVPR 관련도 관련 논문 3편 비중 4% 연구 분야에 명시
2026 SSG: Scaled Spatial Guidance for Multi-Scale Visual Autoregressive Generation ICLR 2024 Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance NeurIPS 2023 Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models ICCV 관련도 관련 논문 5편 비중 6%
2026 On the Collapse of Generative Paths: A Criterion and Correction for Diffusion Steering ICML 2026 Progress by Pieces: Test-Time Scaling for Autoregressive Image Generation CVPR 2025 LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding ICLR 관련도 관련 논문 2편 비중 4% 연구 분야에 명시
2026 Detecting Unknown Objects via Energy-based Separation for Open World Object Detection CVPR 2024 Generative Unlearning for Any Identity CVPR · 로보틱스
박종우 FCP Robotics Lab 관련도 관련 논문 3편 비중 14% 연구 분야에 명시
2024 EquiGraspFlow: SE(3)-Equivariant 6-DoF Grasp Pose Generative Flows CoRL 2024 Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models NeurIPS 2023 Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach NeurIPS 관련도 관련 논문 5편 비중 8%
2026 Early Decisions Matter: Proximity Bias and Initial Trajectory Shaping in Non-Autoregressive Diffusion Language Models ICML 2025 Evaluating Multimodal Generative AI with Korean Educational Standards NAACL 2025 Generative Prompt Internalization NAACL 관련도 관련 논문 2편 비중 9% 연구 분야에 명시
2026 Meta Inverse Prompting for Video Generative Models NeurIPS 2023 Guiding Energy-based Models via Contrastive Latent Variables ICLR · AI for Science
정유성 MICC Lab 관련도 관련 논문 3편 비중 7%
2026 Generative modelling of inorganic materials with explicit electronic structure Nature Communications 2026 AI for Accelerated Materials Discovery: From Generative Design to Autonomous Realization Chem. Rev 2026 Evaluating Global Optimization and Generative Methods for Low-Energy and Diverse Crystal Structure Prediction Via Two Case Studies Digital Discovery · 자연어처리·LLM
이동하 DLI Lab 관련도 관련 논문 3편 비중 5%
2026 MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender SIGIR 2026 SAGEO Arena: A Realistic Environment for Evaluating Search-Augmented Generative Engine Optimization KDD 2026 Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths ACL Findings 관련도 관련 논문 3편 비중 9% 연구 분야에 명시
2023 MAGVLT: Masked Generative Vision-and-Language Transformer CVPR 2023 Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces NeurIPS 2023 Score-based Generative Models with Levy Processes NeurIPS 관련도 관련 논문 3편 비중 3%
2026 Real-Time Execution with Autoregressive Policies CoRL 2026 Spanning Tree Autoregressive Visual Generation ECCV 2026 Teaching Metric Distance to Autoregressive Multimodal Foundational Models ICLR 관련도 관련 논문 2편 비중 3% 연구 분야에 명시
2025 TSGM: Regular and Irregular Time-series Generation using Score-based Generative Models IEEE BigData 2023 MadSGM: Multivariate Anomaly Detection with Score-based Generative Models CIKM · 데이터 마이닝
신기정 Data Mining Lab 관련도 관련 논문 4편 비중 4%
2026 Sequential Data Augmentation for Generative Recommendation WSDM 2025 Kronecker Generative Models for Power-Law Patterns in Real-World Hypergraphs WWW 2025 Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding NeurIPS · 컴퓨터 비전
김상필 Computer Vision Lab 관련도 관련 논문 1편 비중 2% 연구 분야에 명시
2026 Decoupled Generative Modeling for Human-Object Interaction Synthesis CVPR 관련도 관련 논문 4편 비중 3%
2026 DualDrift: Combining Forward and Reverse Drifts for One-Step Generative Modeling NeurIPS 2026 Generative Visual Code Mobile World Models ICML 2024 Re3val: Reinforced and Reranked Generative Retrieval EACL Findings 관련도 관련 논문 4편 비중 3%
2026 Affostruction: 3D Affordance Grounding with Generative Reconstruction CVPR 2025 Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens ICCV 2025 GENIUS: A Generative Framework for Universal Multimodal Search CVPR 관련도 관련 논문 1편 비중 3% 연구 분야에 명시
2025 Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction CVPR 관련도 관련 논문 3편 비중 9%
2026 On the Collapse of Generative Paths: A Criterion and Correction for Diffusion Steering ICML 2026 Enhancing Generative Networks for Chest Anomaly Localization through Automatic Registration-Based Unpaired-to-Pseudo-Paired Training Data Translation Scientific Reports 2024 Refining Microcalcification Detection in Full-Field Digital Mammography Using Generative AI: Enhanced Accuracy and Reduced False Positives RSNA · 컴퓨터 비전
주재걸 DAVIAN Lab 관련도 관련 논문 5편 비중 4%
2025 PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask ICCV 2025 Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs EMNLP 2023 3D-Aware Generative Model for Improved Side-View Image Synthesis ICCV · 머신러닝
권도현 PDE & AI Lab 관련도 관련 논문 1편 비중 7% 연구 분야에 명시
2024 Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models NeurIPS · 컴퓨터 비전
어영정 Visual Intelligence Lab 관련도 관련 논문 1편 비중 4% 연구 분야에 명시
2024 Attribute Based Interpretable Evaluation Metrics for Generative Models ICML · 컴퓨터 비전
김태균 CV & Learning Lab 관련도 관련 논문 1편 비중 3% 연구 분야에 명시
2024 Energy-based Domain-Adaptive Segmentation with Depth Guidance IEEE RA-L 관련도 관련 논문 3편 비중 4%
2026 Context-aware generative imputation for robust multimodal learning in missing modality scenarios NeurIPS 2026 Generative active learning via Bayesian acquisition for improving the efficiency of synthetic data NeurIPS 2023 A generative self-supervised framework using functional connectivity in fMRI data NeurIPS 관련도 관련 논문 3편 비중 3%
2026 Infinite-Precision Autoregressive Modeling for Vector Graphics and Layouts ICML 2026 HyperPose: Hyper-pose Embeddings for 3D-Aware Generative Models with Self-Supervised Disentangling of Pose and Scene WACV 2023 Generative Neural Fields by Mixtures of Neural Implicit Functions NeurIPS 관련도 관련 논문 1편 비중 7% 연구 분야에 명시
2023 DreamTeacher: Pretraining Image Backbones with Deep Generative Models ICCV 관련도 관련 논문 1편 비중 3% 연구 분야에 명시
2023 Data-efficient deep generative model with discrete latent representations for high-fidelity digital materials ACS Materials Letters · 컴퓨터 비전
홍승훈 Vision and Learning Lab 관련도 관련 논문 1편 비중 3% 연구 분야에 명시
2023 Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers CVPR 관련도 관련 논문 1편 비중 1% 연구 분야에 명시
2023 Causally Disentangled Generative Variational AutoEncoder ECAI 관련도 관련 논문 5편 비중 3%
2025 ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow AAAI 2024 Explaining Generative Diffusion Models via Visual Analysis for Interpretable Decision-Making Process Expert Systems with Applications 2023 GITGAN: Generative Inter-subject Transfer for EEG Motor Imagery Analysis Pattern Recognition · 자연어처리·LLM
임희석 NLP&AI Lab 관련도 관련 논문 4편 비중 4%
2026 SERA: Self-referential assessment framework for bidirectional generative commonsense reasoning Knowledge-Based Systems 2024 Generative Interpretation: Toward Human-Like Evaluation for Educational Question-Answer Pair Generation EACL Findings 2023 CHEF in the Language Kitchen: A Generative Data Augmentation Leveraging Korean Morpheme Ingredients EMNLP 관련도 관련 논문 3편 비중 4%
2026 Learning to Solve Generative ODEs Beyond the Linear Span NeurIPS 2025 Latent Bayesian Optimization via Autoregressive Normalizing Flows ICLR 2024 Generative Subgraph Retrieval for Knowledge Graph–Grounded Dialog Generation EMNLP · 컴퓨터 비전
김영민 3D Vision Lab 관련도 관련 논문 3편 비중 6%
2026 ScaleMoGen: Autoregressive Next-Scale Prediction for Human Motion Generation ECCV 2024 Investigating Chiral Morphogenesis of Gold Using Generative Cellular Automata Nature Materials 2024 Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata CVPR 관련도 관련 논문 3편 비중 14%
2026 Zero-Shot Scene Geometry Recognition from Sparse Partial-View Images: Leveraging Generative Diffusion Models for Robotic Manipulation Tasks IEEE RA-L 2024 EquiGraspFlow: SE(3)-Equivariant 6-DoF Grasp Pose Generative Flows CoRL 2023 On Explicit Curvature Regularization in Deep Generative Models ICML 관련도 관련 논문 2편 비중 4%
2026 LIIFusion: Coarse-to-fine Framework for Generative MEF via Implicit Neural Representation ECCV 2026 Autoregressive Universal Video Segmentation Model CVPR Findings · 자연어처리·LLM
여진영 Language & AGI Lab 관련도 관련 논문 2편 비중 4%
2026 MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender SIGIR 2026 Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths ACL Findings 관련도 관련 논문 2편 비중 3%
2026 GR²: Mitigating Granularity Collapse via Adaptive Query Routing in Generative Retrieval EMNLP 2026 D3: Dynamic Docid Decoding for Multi-Intent Generative Retrieval EACL 관련도 관련 논문 2편 비중 2%
2026 ELITE: Efficient Gaussian Head Avatar from a Monocular Video via Learned Initialization and TEst-time Generative Adaptation CVPR 2026 Reflection-aware Generative Novel View Synthesis ECCV · 컴퓨터 비전
이종석 MCML Group 관련도 관련 논문 3편 비중 9%
2026 Dominating vs. dominated: Concept-level generative collapse in diffusion models ACCV 2024 Anomaly score: Evaluating generative models and individual generated images based on complexity and vulnerability CVPR 2023 Demystifying randomly initialized networks for evaluating generative models AAAI · 자연어처리·LLM
도재영 AIDAS Lab 관련도 연구 분야에 명시
· 컴퓨터 비전
박재식 Visual & Geometric Intelligence Lab 관련도 연구 분야에 명시
· 로보틱스
이영운 Scalable Robot Learning Lab 관련도 연구 분야에 명시
관련도 연구 분야에 명시
· 머신러닝
김희영 Engineering Data Science Lab 관련도 관련 논문 3편 비중 9%
2026 Multimodal Deep Generative Model for Semi-Supervised Learning under Class Imbalance Technometrics 2023 Contextual anomaly detection for high-dimensional data using Dirichlet process variational autoencoder IISE Transactions 2023 Label-Noise Robust Deep Generative Model for Semi-Supervised Learning Technometrics · 데이터 마이닝
황지영 Big Data Intelligence Lab 관련도 관련 논문 2편 비중 10%
2026 Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion ICML 2025 SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector AAAI 관련도 관련 논문 3편 비중 5%
2026 UNCAGE: Contrastive Attention Guidance for Masked Generative Transformers in Text-to-Image Generation IEEE Access 2023 JPEG Artifact Reduction Based on Deformable Offset Gating Network Controlled by a Variational Autoencoder IEEE Access 2023 Deformable Offset Gating Network with Variational Auto-encoder for Compression Artifacts Reduction IWAIT 관련도 관련 논문 2편 비중 5%
2026 DeCoFlow: Structural Decomposition of Normalizing Flows for Continual Anomaly Detection ECCV 2025 Normalizing flow-based latent space mapping for implicit pattern authentication on mobile devices Applied Soft Computing 2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.