Generative Modeling

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Momentum

39 papers in the last four weeks, up 144% on the four weeks before. 0.4% of all new papers.

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  1. Geometric Decoupling: Diagnosing the Structural Instability of Latent

    Apr 20, 2026Yuanbang Liang, Zhengwen Chen, Yu-Kun LaiNeural Representation GeometryLatent Diffusion Models

    School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom

  2. Attraction, Repulsion, and Friction: Introducing DMF, a Friction-Augmented Drifting Model

    Apr 20, 2026Arkadii Kazanskii, Tatiana Petrova, Konstantin Bagrianskii +2Image-to-Image TranslationGenerative Modeling

    SEDAN, SnT, University of Luxembourg

  3. Trustworthy deep domain adaptation for wearable photoplethysmography signal analysis with decision-theoretic uncertainty quantification

    Apr 19, 2026Ciaran BenchUncertainty QuantificationDomain Adaptation

    Department of Data Science and AI National Physical Laboratory Teddington, UK

  4. MetaEarth3D: Unlocking World-scale 3D Generation with Spatially Scalable Generative Modeling

    Apr 19, 2026Jinqi Cao, Zhiping Yu, Baihong Lin +3Geospatial Foundation ModelsRemote Sensing

    School of Astronautics, Beihang University

  5. MidSteer: Optimal Affine Framework for Steering Generative Models

    Apr 17, 2026Tatiana Gaintseva, Andrew Stepanov, Ziquan Liu +4Language Model SteeringGenerative Modeling

    Queen Mary University of London, London, UK · Huawei Noah’s Ark, London, UK · QuantumLight Capital, London, UK +2

  6. The Amazing Stability of Flow Matching

    Apr 17, 2026Rania Briq, Michael Kamp, Ohad Fried +2Flow MatchingGenerative Modeling

    Forschungszentrum Jülich · TU Dortmund · Lamarr Institute +4

  7. Synthesizing real-world distributions from high-dimensional Gaussian Noise with Fully Connected Neural Network

    Apr 10, 2026Joanna KomorniczakSynthetic Tabular Data GenerationGenerative Modeling

    Department of Systems and Computer Networks, Wrocław University of Science and Technology

  8. SimpleProc: Fully Procedural Synthetic Data from Simple Rules for Multi-View Stereo

    Apr 6, 2026Zeyu Ma, Alexander Raistrick, Jia DengSynthetic Data GenerationMulti-View 3D Reconstruction

    Princeton University

  9. Mixture-Greedy for Online Generative Model Selection: Is UCB Necessary in Diversity-Aware Multi-Armed Bandits?

    Mar 23, 2026Bahar Dibaei Nia, Farzan FarniaMulti-Armed BanditsExploration-Exploitation Tradeoff

    Department of Computer Science and Engineering, Chinese University of Hong Kong.

  10. FlatLands: Generative Floormap Completion From a Single Egocentric View

    Mar 16, 2026Subhransu S. Bhattacharjee, Dylan Campbell, Rahul ShomeRobot NavigationBird's-Eye-View Representation

    School of Computing, The Australian National University

  11. Generalization and Memorization in Rectified Flow

    Mar 12, 2026Mingxing Rao, Daniel MoyerRectified FlowMembership Inference Attacks

    Vanderbilt University, Nashville TN 37235, USA

  12. Momentum Guidance: Plug-and-Play Guidance for Flow Models

    Feb 23, 2026Runlong Liao, Jian Yu, Baiyu Su +3Momentum MethodsDiffusion Guidance

    The University of Texas at Austin, Austin, TX 78712, USA

  13. Generative Modeling via Kernelized Stochastic Interpolants

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

    Capital Fund Management, Paris, France · Département d’informatique, ENS, Université PSL, Paris, France · Collège de France, Paris, France +2

  14. Manifold-Aligned Generative Transport

    Feb 23, 2026Xinyu Tian, Xiaotong ShenOne-Step Generative ModelingGenerative Modeling

    School of Statistics, University of Minnesota, MN, 55455 USA

  15. Neural Proposals, Symbolic Guarantees: Neuro-Symbolic Graph Generative Modeling

    Feb 18, 2026Chuqin Geng, Li Zhang, Mark Zhang +3Constrained Generative ModelingSatisfiability Modulo Theories

    School of Computer Science, McGill University, Montreal, Canada · Department of Computer Science, University of Toronto, Toronto, Canada

  16. Can Generative Artificial Intelligence Survive Data Contamination? Theoretical Guarantees under Contaminated Recursive Training

    Feb 17, 2026Kevin Wang, Hongqian Niu, Didong LiModel CollapseGenerative Modeling

    Department of Biostatistics, University of North Carolina at Chapel Hill

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

    Feb 10, 2026Amandeep Kumar, Vishal M. PatelFlow MatchingDiffusion Transformer

    Johns Hopkins University

  18. Efficient Training of Boltzmann Generators Using Off-Policy Log-Dispersion Regularization

    Feb 3, 2026Henrik Schopmans, Christopher von Klitzing, Pascal FriederichGenerative Modeling

    Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Kaiserstr. 12, 76131 Karlsruhe, Germany · Institute of Nanotechnology, Karlsruhe Institute of Technology, Kaiserstr. 12, 76131 Karlsruhe, Germany

  19. Manifold-Aware Perturbations for Constrained Generative Modeling

    Jan 30, 2026Katherine Keegan, Lars RuthottoConstrained Generative ModelingGenerative Modeling

    Department of Mathematics, Emory University, Atlanta, Georgia, USA.

  20. Tactile Memory with Soft Robot: Robust Object Insertion via Masked Encoding and Soft Wrist

    Jan 27, 2026Tatsuya Kamijo, Mai Nishimura, Nodoka Shibasaki +3Robotic ControlDexterous Manipulation

    OMRON SINIC X Corporation, 5-24-5 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan · The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8654, Japan · Northeastern University, 360 Huntington Ave, Boston, MA, 02115, USA

  21. AllShowers: One model for all calorimeter showers

    Jan 16, 2026Thorsten Buss, Henry Day-Hall, Frank Gaede +2Neural Surrogate ModelingGenerative Modeling

    Institut für Experimentalphysik, Universität Hamburg, Hamburg, Germany · Deutsches Elektronen-Synchrotron DESY, Hamburg, Germany

  22. Emergence of Nonequilibrium Latent Cycles in Unsupervised Generative Modeling

    Dec 12, 2025Marco Baiesi, Alberto RossoLatent Variable ModelsLatent Dynamics Modeling

    Department of Physics and Astronomy, University of Padova, Via Marzolo 8, I-35131 Padova, Italy · INFN, Sezione di Padova, Via Marzolo 8, I-35131 Padova, Italy · LPTMS, CNRS, Universit´e Paris-Saclay, 91405, Orsay, France

  23. Is Generation Required for Data-Efficient Perception?

    Dec 9, 2025Jack Brady, Bernhard Schölkopf, Thomas Kipf +2Visual Representation LearningGenerative Modeling

    Max Planck Institute for Intelligent Systems, Tübingen, Germany · Tübingen AI Center · ELLIS Institute, Tübingen +1

  24. Distribution Matching Variational AutoEncoder

    Dec 8, 2025Sen Ye, Jianning Pei, Mengde Xu +4Variational AutoencodersGenerative Modeling

    State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University · University of Chinese Academy of Sciences · Tencent +1

  25. GENA3D: Generative Amodal 3D Modeling by Bridging 2D Priors and 3D Coherence

    Nov 26, 2025Junwei Zhou, Yu-Wing Tai3D ReconstructionGenerative Modeling

    Dartmouth College

  26. CrochetBench: Can Vision-Language Models Move from Describing to Doing in Crochet Domain?

    Nov 12, 2025Peiyu Li, Xiaobao Huang, Ting Hua +1Generative ModelingMultimodal Model Evaluation

    University of Notre Dame

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

    Oct 17, 2025Charles Rhys Campbell, Aldo H. Romero, Kamal ChoudharyMaterials ScienceGenerative Modeling

    Department of Physics and Astronomy, West Virginia University, Morgantown, WV 26506, USA · Department of Materials Science and Engineering, Whiting School of Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA · Department of Electrical and Computer Engineering, Whiting School of Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA

  28. SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models

    Oct 14, 2025Weiyang Jin, Yuwei Niu, Jiaqi Liao +4Unified Multimodal ModelsT2I Generation

    HKU MMLab · The University of Hong Kong · Shenzhen Loop Area Institute +2

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

    Oct 10, 2025Sangyun Lee, Brandon Amos, Giulia FantiGenerative ModelingRL for Generative Models

    Carnegie Mellon University

  30. What Drives Compositional Generalization in Visual Generative Models? The Importance of Continuous Training Objectives

    Oct 3, 2025Karim Farid, Rajat Sahay, Yumna Ali Alnaggar +4Compositional Image GenerationGenerative Modeling

    University of Freiburg · Bosch Center for Artificial Intelligence · Inria, École Normale Supérieure, CNRS, PSL Research University