生成流论文趋势 2023–2026

主要结论

• 生成流论文从 2023 年的 73 篇增长到 2026 年的 139 篇，三年间扩大到约 1.9 倍。
• NeurIPS 是发生成流论文最多的会议，2023–2026 年共 130 篇，占四个会议总量的 30%。
• 交叉方向里涨得最快的是应用 · chemistry physics and earth sciences：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 5 篇。
• 在「概率与贝叶斯」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的高斯过程是 2.2 倍，生成流是 1.9 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026Exact Recovery of Lipschitz Orthogonal Coordinate Transformations via Constrained Normalizing Flows
• ICML 2026Learning-to-Optimize via Deep Unfolded Flows
• ICLR 2026Frozen Priors, Fluid Forecasts: Prequential Uncertainty for Low-Data Deployment with Pretrained Generative Models
• CVPR 2026AnchorFlow Training-Free 3D Editing via Latent Anchor-Aligned Flows
• NeurIPS 2025Amortized Sampling with Transferable Normalizing Flows
• ICML 2025Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions
• ICLR 2025Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks
• CVPR 2025DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows
• NeurIPS 2024Learning Distributions on Manifolds with Free-Form Flows
• ICML 2024A Computational Framework for Solving Wasserstein Lagrangian Flows
• ICLR 2024Fast and unified path gradient estimators for normalizing flows
• CVPR 2024Distributionally Generative Augmentation for Fair Facial Attribute Classification
• NeurIPS 2023Canonical normalizing flows for manifold learning
• ICML 2023MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows
• ICLR 2023AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection
• CVPR 2023Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling
• NeurIPS 2026From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows
• ICML 2026Hyperbolic RQ-VAE enhanced Generative Recommendation with Differential-Length Codebook Strategy
• ICLR 2026JAPAN: Joint Adaptive Prediction Areas with Normalising Flow
• CVPR 2026BUSSARD Normalizing Flows for Bijective Universal Scene-Specific Anomalous Relationship Detection

全部生成流论文

共 119 篇，第 1 / 3 页

1. CVPR 2025Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language
2. CVPR 2025Can Generative Video Models Help Pose Estimation?
3. CVPR 2025Decompositional Neural Scene Reconstruction with Generative Diffusion Prior
4. CVPR 2025DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows
5. CVPR 2025Exploration-Driven Generative Interactive Environments
6. CVPR 2025GCC: Generative Color Constancy via Diffusing a Color Checker
7. CVPR 2025Generalizable Object Keypoint Localization from Generative Priors
8. CVPR 2025Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction
9. CVPR 2025Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens
10. CVPR 2025Generative Photomontage
11. CVPR 2025GIF: Generative Inspiration for Face Recognition at Scale
12. CVPR 2025IDEA-Bench: How Far are Generative Models from Professional Designing?
13. CVPR 2025LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping
14. CVPR 2025Omni-ID: Holistic Identity Representation Designed for Generative Tasks
15. CVPR 2025PERSE: Personalized 3D Generative Avatars from A Single Portrait
16. CVPR 2025PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?
17. CVPR 2025RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins
18. CVPR 2025Segment Any-Quality Images with Generative Latent Space Enhancement
19. CVPR 2025Symbolic Representation for Any-to-Any Generative Tasks
20. CVPR 2025Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?
21. CVPR 2025Traversing Distortion-Perception Tradeoff using a Single Score-Based Generative Model
22. CVPR 2025Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach
23. ICLR 2025Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks
24. ICLR 2025Boosting Latent Diffusion with Perceptual Objectives
25. ICLR 2025Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective
26. ICLR 2025COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation
27. ICLR 2025CoInD: Enabling Logical Compositions in Diffusion Models
28. ICLR 2025Consistency Models Made Easy
29. ICLR 2025CONTRA: Conformal Prediction Region via Normalizing Flow Transformation
30. ICLR 2025CryoGEN: Generative Energy-based Models for Cryogenic Electron Tomography Reconstruction
31. ICLR 2025cryoSPHERE: Single-Particle HEterogeneous REconstruction from cryo EM
32. ICLR 2025Data Unlearning in Diffusion Models
33. ICLR 2025Deep MMD Gradient Flow without adversarial training
34. ICLR 2025Designing Mechanical Meta-Materials by Learning Equivariant Flows
35. ICLR 2025Do WGANs succeed because they minimize the Wasserstein Distance? Lessons from Discrete Generators
36. ICLR 2025FaceShot: Bring Any Character into Life
37. ICLR 2025Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling
38. ICLR 2025Flow matching achieves almost minimax optimal convergence
39. ICLR 2025Generative Flows on Synthetic Pathway for Drug Design
40. ICLR 2025GMValuator: Similarity-based Data Valuation for Generative Models
41. ICLR 2025Heavy-Tailed Diffusion Models
42. ICLR 2025Injective flows for star-like manifolds
43. ICLR 2025Latent Bayesian Optimization via Autoregressive Normalizing Flows
44. ICLR 2025Multilevel Generative Samplers for Investigating Critical Phenomena
45. ICLR 2025MuPT: A Generative Symbolic Music Pretrained Transformer
46. ICLR 2025Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry
47. ICLR 2025No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models
48. ICLR 2025Not-So-Optimal Transport Flows for 3D Point Cloud Generation
49. ICLR 2025NRGBoost: Energy-Based Generative Boosted Trees
50. ICLR 2025ParetoFlow: Guided Flows in Multi-Objective Optimization

常见问题

2023–2026 年四大会议一共有多少篇生成流论文？

共 429 篇，按年份分别是 2023 年 73 篇、2024 年 98 篇、2025 年 119 篇、2026 年 139 篇。

NeurIPS 2026 有多少篇生成流论文？

NeurIPS 2026 有 46 篇生成流论文，上一届是 37 篇。

ICLR 2026 有多少篇生成流论文？

ICLR 2026 有 37 篇生成流论文，上一届是 35 篇。

ICML 2026 有多少篇生成流论文？

ICML 2026 有 32 篇生成流论文，上一届是 25 篇。

CVPR 2026 有多少篇生成流论文？

CVPR 2026 有 24 篇生成流论文，上一届是 22 篇。

哪个会议的生成流论文最多？

NeurIPS，2023–2026 年共 130 篇。