Generative Models

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Period ending 2026-09-21

28 new papers

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Period ending 2026-09-14

26 new papers

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Period ending 2026-09-07

31 new papers

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1,168 papers

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  1. Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models

    Mar 15, 2026Niklas Schweiger, Daniel Cremers, Karnik RamGenerative ModelsTrust Region

  2. Deep probabilistic model synthesis enables unified modeling of whole-brain neural activity across individual subjects

    Mar 15, 2026William E. Bishop, Luuk W. Hesselink, Bernhard Englitz +2PosteriorSynthetic Data

  3. SK-Adapter: Skeleton-Based Structural Control for Native 3D Generation

    Mar 14, 2026Anbang Wang, Yuzhuo Ao, Shangzhe Wu +13D GenerationSkeleton

  4. Local Message-Passing for Discrete Graph Generation

    Mar 9, 2026Jay Revolinsky, Harry Shomer, Jiliang TangMessage Passing Neural NetworksDenoising Diffusion Probabilistic Model

  5. Longitudinal Lesion Inpainting in Brain MRI via 3D Region Aware Diffusion

    Mar 5, 2026Zahra Karimaghaloo, Dumitru Fetco, Haz-Edine Assemlal +2Brain Magnetic Resonance Imaging3D Latent Diffusion Model

  6. TerraDiT: Point-Conditioned Diffusion Transformer for Satellite Image Synthesis

    Mar 2, 2026Srikumar Sastry, Dan Cher, Brian Wei +4Remote SensingGenerative

  7. Suffix-Constrained Greedy Search Algorithms for Causal Language Models

    Mar 1, 2026Ayoub Hammal, Pierre Zweigenbaum, Caio CorroLarge Language Model GenerationData Generation

  8. Advancing Multimodal Judge Models through a Capability-Oriented Benchmark and MCTS-Driven Data Generation

    Feb 28, 2026Zeyu Chen, Huanjin Yao, Ziwang Zhao +1Large Language Model JudgesLlm-As-A-Judge

  9. Inference-time optimization for experiment-grounded protein ensemble generation

    Feb 27, 2026Advaith Maddipatla, Anar Rzayev, Marco Pegoraro +5Conformational EnsemblesProtein

  10. MetaOthello: A Controlled Study of Multiple World Models in Transformers

    Feb 26, 2026Aviral Chawla, Galen Hall, Juniper LovatoTransformer ArchitecturesMultimodal Transformers

  11. BrepCoder: A Unified Multimodal Large Language Model for Multi-task B-rep Reasoning

    Feb 25, 2026Mingi Kim, Yongjun Kim, Jungwoo Kang +1Computer-Aided Design3D Models

  12. Generative Modeling via Kernelized Stochastic Interpolants

    Feb 23, 2026Florentin Coeurdoux, Etienne Lempereur, Nathanaël Cuvelle-Magar +2Stochastic Differential EquationsGenerative Models

  13. MeDUET: Disentangled Unified Pretraining for 3D Medical Image Synthesis and Analysis

    Feb 19, 2026Junkai Liu, Ling Shao, Le ZhangMedical Image Generation3D Latent Diffusion Model

  14. NextCrystal: a Symmetry-Driven Generative Framework for Crystal Structure Prediction

    Feb 19, 2026Jinming Mu, Lixin He, Xudong Zhu +1Crystal StructureCrystal

  15. HairWeaver: Few-Shot Photorealistic Hair Motion Synthesis with Sim-to-Real Guided Video Diffusion

    Feb 11, 2026Di Chang, Ji Hou, Aljaz Bozic +8Human Motion GenerationDynamic Rope Manipulation

  16. Learning on the Manifold: Unlocking Standard Diffusion Transformers with Representation Encoders

    Feb 10, 2026Amandeep Kumar, Vishal M. PatelMultimodal Diffusion TransformersGenerative Models

  17. Allure of Craquelure: A Variational-Generative Approach to Crack Detection in Paintings

    Feb 10, 2026Laura Paul, Holger Rauhut, Martin Burger +2VariationalGenerative Models

  18. Stabilizing Physics-Informed Consistency Models via Structure-Preserving Training

    Feb 10, 2026Che-Chia Chang, Chen-Yang Dai, Te-Sheng Lin +2Physics-Informed Machine LearningPartial Differential Equation Benchmarks

  19. Language-Guided Transformer Tokenizer for Human Motion Generation

    Feb 9, 2026Sheng Yan, Yong Wang, Xin Du +2Human Motion GenerationTokenization

  20. The Hidden Cost of Structured Generation in LLMs: Draft-Conditioned Constrained Decoding

    Feb 8, 2026Avinash Reddy, Thayne T. Walker, James S. Ide +1Data GenerationTraining-Free Inference Framework

  21. Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry

    Jan 30, 2026Zhuochun Li, Yong Zhang, Ming Li +8Small Language ModelsJudges

  22. Parametric and Generative Forecasts of EPEX Day\char45 Ahead Energy Market Curves

    Jan 28, 2026Julian Gutierrez, Redouane SilventeElectricity Price ForecastingStochastic Volatility

  23. Ambient Dataloops: Generative Models for Dataset Refinement

    Jan 21, 2026Adrián Rodríguez-Muñoz, William Daspit, Adam Klivans +3Discrete Diffusion ModelGenerative Models

  24. A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models

    Jan 20, 2026Qiang Sun, H. Vincent Poor, Wenyi ZhangKullback-Leibler Divergence3D Gaussian Splatting

  25. Diff-MN: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations

    Jan 20, 2026Xu Zhang, Junwei Deng, Chang Xu +2Synthetic Time SeriesNeural Ordinary Differential Equations

  26. AllShowers: One model for all calorimeter showers

    Jan 16, 2026Thorsten Buss, Henry Day-Hall, Frank Gaede +2High Energy PhysicsGenerative Models

  27. DAGGER: Distractor-Aware Graph Generation for Executable Reasoning in Math Problems

    Jan 11, 2026Zabir Al Nazi, Shubhashis Roy Dipta, Sudipta KarMathematical ReasoningMath Problems

  28. xGR: Efficient Generative Recommendation Serving at Scale

    Dec 12, 2025Qingxiao Sun, Tongxuan Liu, Shen Zhang +13Large-Scale Recommendation SystemsRecommendation

  29. Emergence of Nonequilibrium Latent Cycles in Unsupervised Generative Modeling

    Dec 12, 2025Marco Baiesi, Alberto RossoStatistical MechanicsLatent Variable

  30. Is Generation Required for Data-Efficient Perception?

    Dec 9, 2025Jack Brady, Bernhard Schölkopf, Thomas Kipf +2Generative ProcessesVisual Perception

  31. Distribution Matching Variational AutoEncoder

    Dec 8, 2025Sen Ye, Jianning Pei, Mengde Xu +4Variational AutoencoderGenerative Models

  32. ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation

    Dec 2, 2025Kerui Chen, Jianrong Zhang, Ming Li +2Photorealistic Style TransferText-To-Motion Generation

  33. CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation

    Nov 27, 2025Tianxin Wei, Xuying Ning, Xuxing Chen +6RecommendationTokenization

  34. Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

    Nov 27, 2025Z-Image Team, Huanqia Cai, Sihan Cao +21Large-Scale Image GenerationImage Generation

  35. Learning to Generate Human-Human-Object Interactions from Textual Descriptions

    Nov 25, 2025Jeonghyeon Na, Sangwon Baik, Inhee Lee +2Articulated ObjectsHuman Motion Generation

  36. FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning

    Nov 22, 2025Bo Yin, Xiaobin Hu, Xingyu Zhou +7Generative ModelsRegularization Techniques

  37. Concentration bounds on response-based vector embeddings of black-box generative models

    Nov 11, 2025Aranyak Acharyya, Joshua Agterberg, Youngser Park +1Embedding DimensionGenerative Models

  38. Leveraging Discrete Function Decomposability for Scientific Design

    Nov 4, 2025James C. Bowden, Sergey Levine, Jennifer ListgartenProtein DesignMolecular Optimization

  39. CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices

    Oct 29, 2025Xuchen Feng, Siyu LiaoNormalizing FlowsEquivariant Neural Networks

  40. RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models

    Oct 22, 2025Yang Yang, Hua XU, Zhangyi Hu +1Inductive Logic ProgrammingLarge Language Model Reasoning

  41. Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term Convergence

    Oct 18, 2025Bingji Yi, Qiyuan Liu, Yuwei Cheng +1Synthetic DataRetraining

  42. AtomBench: A Benchmarking Framework for Generative Crystal Reconstruction Models in Conventional Superconductors

    Oct 17, 2025Charles Rhys Campbell, Aldo H. Romero, Kamal ChoudharyCrystal StructureGenerative Models

  43. Column Generation with Domain-Independent Dynamic Programming

    Oct 16, 2025Ryo Kuroiwa, Edward LamMixed-Integer ProgrammingPrices

  44. Attribution Graphs and Causal Probing for Mechanistic Discovery and Bias Repair in Multimodal Generative Learning

    Oct 14, 2025Noor Islam S. Mohammad, Uluğ BayazıtTraining Data AttributionMechanistic Interpretability

  45. BaNEL: Exploration Posteriors for Generative Modeling Using Only Negative Rewards

    Oct 10, 2025Sangyun Lee, Brandon Amos, Giulia FantiGenerative ModelsPosterior

  46. LLP: LLM-Based Product Pricing in E-commerce

    Oct 10, 2025Hairu Wang, Sheng You, Qiheng Zhang +5PricesProducts

  47. Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable Optimization

    Oct 10, 2025Simon Idoko, Prajyot Jadhav, Arun Kumar SinghMulti-Robot Motion PlanningTrajectory Optimization

  48. HunyuanImage 3.0 Technical Report

    Sep 28, 2025Tencent Hunyuan Foundation Model TeamLarge-Scale Image GenerationGenerative Models

  49. Generative AI performance in core undergraduate mathematics: a curriculum-level case study

    Sep 15, 2025Benjamin J. Walker, Nikoleta Kalaydzhieva, Beatriz Navarro Lameda +1Computerized Adaptive TestingGenerative Artificial Intelligence

  50. Forecasting Generative Amplification

    Sep 9, 2025Henning Bahl, Sascha Diefenbacher, Nina Elmer +2High Energy PhysicsGenerative Models

  51. PiCSAR: Probabilistic Confidence Selection And Ranking for Reasoning Chains

    Aug 29, 2025Joshua Ong Jun Leang, Zheng Zhao, Aryo Pradipta Gema +7Large Reasoning ModelsConfidence Calibration

  52. Symmetry-Aware Transformer Training for Automated Planning

    Aug 11, 2025Markus Fritzsche, Elliot Gestrin, Jendrik SeippClassical PlanningTransformer Architectures

  53. Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems

    Aug 5, 2025Jan Tauberschmidt, Sophie Fellenz, Sebastian J. Vollmer +1Ill-Posed Inverse ProblemInverse Problem

  54. Diffusion Models are Open-World Affordance Learners: Leveraging Generative Priors for 3D Affordance Learning

    Aug 3, 2025Hanqing Wang, Zhenhao Zhang, Kaiyang Ji +12AffordancesGenerative Priors

  55. L-GTA: Latent Generative Modeling for Time Series Augmentation

    Jul 31, 2025Luis Roque, Vitor Cerqueira, Carlos Soares +1Synthetic Data AugmentationSynthetic Time Series

  56. Guided Unconditional and Conditional Generative Models for Super-Resolution and Inference of Quasi-Geostrophic Turbulence

    Jul 1, 2025Anantha Narayanan Suresh Babu, Akhil Sadam, Pierre F. J. LermusiauxTurbulenceSuper-Resolution Framework

  57. Neural Langevin Machine: a local asymmetric learning rule can be creative

    Jun 30, 2025Zhendong Yu, Weizhong Huang, Haiping HuangLangevin DynamicsGenerative Models

  58. Local Learning Rules for Out-of-Equilibrium Physical Generative Models

    Jun 23, 2025Cyrill Bösch, Geoffrey Roeder, Marc Serra-Garcia +1Statistical MechanicsGenerative Models

  59. The Effect of Stochasticity in Score-Based Diffusion Sampling: a KL Divergence Analysis

    Jun 13, 2025Bernardo P. Schaeffer, Ricardo M. S. Rosa, Glauco ValleScore-Based Diffusion ModelStochastic Differential Equations

  60. ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning

    Jun 9, 2025Ziwen Wang, Jiajun Fan, Ruihan Guo +3Protein DesignProtein