生成流论文趋势 2023–2026

Normalizing flows

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 429 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

生成流论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
20231817261273
20242918272498
202537352522119
202646373224139

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

全部生成流论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 429 篇，第 8 / 9 页

  1. NeurIPS 2024Mutual Information Estimation via Normalizing Flows
  2. NeurIPS 2024Navigating Chemical Space with Latent Flows
  3. NeurIPS 2024On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution
  4. NeurIPS 2024Optimal Flow Matching: Learning Straight Trajectories in Just One Step
  5. NeurIPS 2024Preferential Normalizing Flows
  6. NeurIPS 2024Transferable Boltzmann Generators
  7. CVPR 2023Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling
  8. CVPR 2023FlowGrad: Controlling the Output of Generative ODEs With Gradients
  9. CVPR 2023GaitGCI: Generative Counterfactual Intervention for Gait Recognition
  10. CVPR 2023GANHead: Towards Generative Animatable Neural Head Avatars
  11. CVPR 2023Generalizing Dataset Distillation via Deep Generative Prior
  12. CVPR 2023Generative Semantic Segmentation
  13. CVPR 2023Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field
  14. CVPR 2023Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars
  15. CVPR 2023Persistent Nature: A Generative Model of Unbounded 3D Worlds
  16. CVPR 2023PyramidFlow: High-Resolution Defect Contrastive Localization Using Pyramid Normalizing Flow
  17. CVPR 2023RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models
  18. CVPR 2023SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene
  19. ICLR 2023AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection
  20. ICLR 2023Better Generative Replay for Continual Federated Learning
  21. ICLR 2023Blurring Diffusion Models
  22. ICLR 2023Building Normalizing Flows with Stochastic Interpolants
  23. ICLR 2023Deterministic training of generative autoencoders using invertible layers
  24. ICLR 2023Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models
  25. ICLR 2023Explicitly Minimizing the Blur Error of Variational Autoencoders
  26. ICLR 2023Flow Annealed Importance Sampling Bootstrap
  27. ICLR 2023Flow Matching for Generative Modeling
  28. ICLR 2023Generative Augmented Flow Networks
  29. ICLR 2023GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure
  30. ICLR 2023Hierarchical Sliced Wasserstein Distance
  31. ICLR 2023Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations
  32. ICLR 2023MMVAE+: Enhancing the Generative Quality of Multimodal VAEs without Compromises
  33. ICLR 2023OPTQ: Accurate Quantization for Generative Pre-trained Transformers
  34. ICLR 2023Quantized Compressed Sensing with Score-Based Generative Models
  35. ICLR 2023Structure by Architecture: Structured Representations without Regularization
  36. ICML 2023Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
  37. ICML 2023Chemically Transferable Generative Backmapping of Coarse-Grained Proteins
  38. ICML 2023Conditionally Strongly Log-Concave Generative Models
  39. ICML 2023Data-Copying in Generative Models: A Formal Framework
  40. ICML 2023Disentangled Generative Models for Robust Prediction of System Dynamics
  41. ICML 2023Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation
  42. ICML 2023FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
  43. ICML 2023Latent Traversals in Generative Models as Potential Flows
  44. ICML 2023Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows
  45. ICML 2023MixFlows: principled variational inference via mixed flows
  46. ICML 2023MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows
  47. ICML 2023Multisample Flow Matching: Straightening Flows with Minibatch Couplings
  48. ICML 2023Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels
  49. ICML 2023Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows
  50. ICML 2023Normalizing Flows for Interventional Density Estimation

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查生成流在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "generative-flows"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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