Generative Models

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Period ending 2026-09-14

26 new papers

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Period ending 2026-09-07

31 new papers

A weekly snapshot of new work published in Generative Models.

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  1. De-GAN - Dynamic Parameter Tuned GAN for 3D Medical Image Segmentation: A Step Towards Generalisation

    Sep 15, 2026Zoha Usama, Azadeh AlaviBrain Tumor SegmentationU-Net

  2. Generative models for simulation based filtering: Formulations and Empirical Comparisons

    Sep 14, 2026Mohammad Al-Jarrah, Wei Deng, Bamdad Hosseini +1Bayesian FilteringGenerative Models

  3. Generate to Explore, Select to Exploit: Aligning LLM-based Headline Generation with Personalized Recommendation

    Sep 14, 2026Yi Chen, Rufeng Cheng, Qiang Xie +1Recommendation ArchitectureLarge Language Model Personalization

  4. OneLA: Scaling Linear-Attention Decoding to Large Beams in Generative Recommendation

    Sep 14, 2026Xiangrui Yang, Cheng Peng, Yunfeng Zhao +9Unified Generative FrameworkMemory-Augmented Large Language Models

  5. Type Diversity Enables Transformers to Generalise Compositionally

    Sep 14, 2026Anssi Moisio, Mathias Creutz, Mikko KurimoCompositionalityOutput and Model Diversity

  6. CMA-OT: Hierarchical Expert Supervision for Dance-to-Music Generation

    Sep 14, 2026Jinting Wang, Chenxing Li, Dong Yu +1Unified Generative Framework

  7. GraphAHA: Graph-Based Adaptive Search with Heterogeneous Actions for Test-Time Code Generation

    Sep 14, 2026Xitao Li, Haijun Wang, Gege Yuan +4Generating

  8. Fast BIB simulation at a future Muon Collider with generative machine learning

    Sep 14, 2026Radha Mastandrea, Shiyu Peng, Benjamin Rosser +1Generative Models

  9. Learning Interaction between Image and Layout Priors for Joint Image-Layout Generation in Design Templates

    Sep 12, 2026Shirong Yang, Bo Yang, Ying CaoLayoutsGenerative Processes

  10. Generative Marketing Mix Modeling: A Causal Inference Framework Linking GEO and GEM to Business Impact

    Sep 12, 2026Masahiro Kato, Daiki Honma, Taka KatoGenerativeBrand Pairs

  11. MindTopo: Can Foundation Models Reason in Topological Space?

    Sep 12, 2026Yunfei Ge, Anbang Liu, Qineng Wang +9Spatial ReasoningTheory-Of-Mind Reasoning

  12. Zero-shot rib design: merging training-free generative prior with topology optimization

    Sep 11, 2026Yongmin Kwon, Namwoo KangTopology OptimizationComputer-Aided Design

  13. Shedding Light: A Benchmark for Evaluating Lighting Understanding in Generative Image Models

    Sep 11, 2026Justine Giroux, Jack Oliver Hilliard, Yannick Hold-Geoffroy +2Generative ModelsPhase-Folded Light Curves

  14. Flow Duality and Source Geometry for Categorical Generation

    Sep 11, 2026Etrit HaxholliConditional Flow MatchingInterpolation

  15. Particle GFlowNets: Rethinking Generative Marginalization Models

    Sep 11, 2026Tiago da Silva, Diego Mesquita, Salem LahlouGenerative Flow NetworksGibbs Measures

  16. Local Robustness Quantification for Naive Bayes Classifiers and Generative Forests: a General Approach

    Sep 11, 2026Adrián Detavernier, Jasper De BockRandom ForestEmpirical Risk Minimization

  17. GRADE: Single-Frame Generative Radar Depth Estimation Under Visual Degradation

    Sep 11, 2026Bin Zhao, Patrick Chiou, Nakul GargDepth EstimationRadar

  18. ReconPlusGen: Injecting Reconstruction Prior into Multi-view 3D Generation through Noise Inversion and Modulation

    Sep 11, 2026Jiarui Liu, Heng Li, Weiyu Li +7Multi-View Diffusion Model3D Generation

  19. AgenticGen: Reward-Guided Agentic Video Generation for Advertising

    Sep 10, 2026Xingyuan Bu, Chengru Song, Hao Zhou +9Agentic Video GenerationUnified Generative Framework

  20. Decoupled Self-Forcing Distillation for Streaming Talking Head Generation

    Sep 9, 2026Yanru An, Ruiyan Wang, Wenwu Wei +7Video Diffusion ModelsStreaming

  21. A Systematic Evaluation of Molecule Generation Models for De Novo Drug Design: From Benchmarks to Practical Insights

    Sep 9, 2026Xinrui Xu, Xueer Wang, Dan Luo +2Molecular GenerationDrug Design

  22. Grounded Evaluation and Repair for NL-to-PDDL Problem Generation

    Sep 9, 2026Joana Rosa, Pedro Santos, Valdemar Oliveira +3Large Language Model PlanningLarge Language Model Generation

  23. Albedo Estimation via Latent Bridge Matching

    Sep 9, 2026Carme Corbi, David Serrano-Lozano, Javier Vazquez-Corral +1Generative Models

  24. uFlowCSP: Crystal Structure Prediction using Mean flow generative models

    Sep 9, 2026Sourin Dey, Dipannoy Das Gupta, Lai Wei +2Crystal Structure PredictionMaterials Discovery

  25. NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting

    Sep 8, 2026Tobias Susetzky, Raphael Rehms, Dmitrii Seletkov +5Patient TrajectoriesLongitudinal Patient Records

  26. From Glance to Scrutiny: Progressive Distortion Reasoning for Fine-Grained Image Quality Assessment

    Sep 8, 2026Aoting Zhang, Mingze Gao, Dongbao Yang +5Image Quality AssessmentFine-Grained Perception

  27. LEBGen: An LLM-Enhanced Bayesian Network Framework for Few-Shot Travel Survey Data Generation

    Sep 8, 2026Zijian Shen, Bin Zhou, Jiguang Wang +2Synthetic DataBayesian Networks

  28. Dreaming in Flow: Generative Grounding Feedback for Self-Evolving Unified Multimodal Models

    Sep 8, 2026Ke Hao, Yuanzhi Liang, Tingxi Chen +5GenerativeDream

  29. Revisiting Spectral Representations in Generative Diffusion Models

    Sep 8, 2026Yuehao Wang, Peihao Wang, Hanwen Jiang +3Diffusion ModelsSelf-Supervised Representations

  30. Flexible Motion Generation from Language and Style References

    Sep 7, 2026Kai Weixian Lan, Bodie Criswell, Briana Fedkiw +3Text-To-Motion GenerationHuman Motion Generation

  31. Harnessing CLIP and DINO: An Uncertainty-Aware Cascaded Fusion Network for Generalizable Deepfake Image Detection

    Sep 7, 2026Xuechao Zou, Yi Zhou, Kai Li +4Deepfake DetectionForgeries

  32. DF26: We Cannot Tell Fake From Real Anymore

    Sep 7, 2026Severyn Shykula, Andrii Yermakov, Ivan Samarskyi +3Deepfake DetectionGenerative Models

  33. The Price of Consistency: Exploiting Visual Anchors for Multimodal Jailbreaking in Video Generation

    Sep 7, 2026Peng Li, Qianqian Xu, Yangbangyan Jiang +2Large-Scale Video Generation ModelsMultimodal Generation

  34. MedFlow: Class-Aware Multi-Scale Generation for Medical Time-Series Synthesis

    Sep 7, 2026Yanhao Huang, Shibo Feng, Wanjin Feng +2Synthetic Time SeriesMedical Image Generation

  35. Conditioning Degenerate Diffusion Models

    Sep 3, 2026Uğur Aydın, Tamer BaşarPocket-Conditioned DiffusionDiffusion Models

  36. Fill My Mirror: Geometry-Constrained Mirror Inpainting

    Sep 3, 2026Ofek Basson, Shimon Vainer, Yacov Hel-Or +1Context-Conditioned InpaintingReflection Layers

  37. </think> Doesn't Stop Reasoning: Analysis of Spurious CoT Termination

    Sep 3, 2026Seunghee Koh, Sungjae Choi, Minchan Kwon +2Chain-Of-ThoughtThinking

  38. Auditing Patient Privacy in Medical Generative Models: Scalable Memorization Detection with DeepSSIM++

    Sep 3, 2026Antonio Scardace, Francesco Guarnera, Sebastiano Battiato +1Medical Image GenerationGenerative Models

  39. FlashRender: Few-Step Generative Rendering via Camera-Controlled Video MeanFlow

    Sep 3, 2026Byeongjun Park, Byung-Hoon Kim, Hyungjin ChungControllable High-Quality Human Video GenerationCamera Control

  40. EPIC: Explicit Posterior Item Conditioning for Semantic ID Diffusion Recommendation

    Sep 3, 2026Tuan-Binh Tran, Thanh Tam Nguyen, Quoc Viet Hung Nguyen +3Recommendation ArchitectureRecommendation

  41. When Do Frozen VLMs Respond to Image-Free Object-Token Edits? An Answer-Key-Free Protocol and What It Reveals

    Sep 3, 2026Wonbin Son, Gyumun Choi, Junil Seo +3Frozen Vision-Language ModelsKnowledge-Based Visual Question Answering

  42. Inferred Generative-Process Diversity Predicts Correlated Failure Across Language Models

    Sep 3, 2026Ross Tieman, Evan MarkouOutput and Model DiversityGenerative Processes

  43. SurgeGen: A Hybrid Generative Diffusion Framework for Storm Surge Scenario Synthesis

    Sep 3, 2026Shunan Zheng, John J. HasenbeinAccurate Flood PredictionSurrogate Modeling

  44. SimpleDesign: A Joint Model for Protein Sequence and Structure Codesign

    Sep 3, 2026Jiarui Lu, Yuyang Wang, Yizhe Zhang +4Protein DesignProtein

  45. Portable Causal Fairness Across Synthetic Data Generator Families

    Sep 2, 2026Steven Golob, Sikha Pentyala, Martine De CockFairness-Aware LearningSynthetic Data

  46. OutageDiT: A Generative Foundation Model for Power Outage Forecasting and Scenario Simulation

    Sep 1, 2026Yunqin Zhu, Feng Qiu, Yao XieGenerative ModelsWireless Foundation Models

  47. Improved Automatic Target Recognition in Synthetic Aperture Sonar Imagery Using Large Deep Neural Networks

    Sep 1, 2026C. J. Moore, Alex Hurt, Jordan MalofSynthetic Aperture RadarHybrid Transformer

  48. CAT-Flow: Curvature-Adaptive sTeps for Flow Matching

    Sep 1, 2026Qinchan Li, Pedro Cisneros-Velarde, Keru Fu +3Generative ModelsCurvature Prediction Quality

  49. Reliability Challenges in Diffusion Vision-Language Models

    Sep 1, 2026Md. Atabuzzaman, Chris ThomasDiffusion Language ModelsLarge Language Model Reliability

  50. A Survey on Self-Improving Test-Time Intelligence: Feedback-Driven Adapting, Learning, and Scaling at Inference

    Sep 1, 2026Shuaicheng Niu, Guohao Chen, Yaofo Chen +14Test-Time AdaptationInference-Time

  51. A Network Science Perspective on Evaluating Deep Graph Generative Models

    Sep 1, 2026Tianrui Mao, Abele Malan, Megha Khosla +2Complex NetworksGenerative Models

  52. When Metropolis and Hastings Meet Bradley and Terry: Exact MCMC From Preference Voting

    Sep 1, 2026Ariel Smogorghevski, Nir Rosenfeld, Yaniv RomanoConditional DistributionMonte Carlo Sampling

  53. Conditional Flow Matching for ML-Based Inverse Design Problems

    Sep 1, 2026Juliana Felder, Milad Habibi, Soheyl Massoudi +1Generative Inverse DesignConditional Flow Matching

  54. GenONet: A Generative operator Network for High-Resolution Precipitation Nowcasting

    Sep 1, 2026Mohammad Kian Golkar, Luciano Alves de Oliveira, Mohammad KhanjaniPrecipitationGenerative Adversarial Network

  55. Latent-Space No-Arbitrage Geometry of Generative Models for Implied Volatility Surfaces

    Aug 31, 2026Jing Wang, Shuaiqiang Liu, Cornelis VuikVolatilityGenerative Models

  56. Geometry-aware Latent Autoregressive Generative Model for PDEs in Complex Domains

    Aug 31, 2026Zi Wang, Minghui Xu, Tapan MukerjiPartial Differential EquationsLatent Cluster Geometry

  57. A Lagrangian View of Flow Matching

    Aug 31, 2026Peyman MilanfarAdjoint MatchingGenerative Models

  58. Elite-Weighted Supervised Fine-tuning for Goal-Directed Molecular Optimization

    Aug 31, 2026Shiyun Wa, Yifei Wang, Anna G. Green +2Molecular OptimizationSupervised Fine-Tuning

  59. "Train classical, deploy quantum" requires rethinking generalization

    Aug 31, 2026Snehal Raj, Natansh Mathur, Alejandro Perdomo-OrtizQuantumQuantum Circuits

  60. When Can We Work in Embedding Space? What Text Embeddings Preserve

    Aug 31, 2026Simon FreyaldenhovenMixturesGenerative Models