扩散模型论文趋势 2023–2026

扩散、flow matching 与 score-based 生成

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 6,900 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

扩散模型论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202332786109138660
20245202601954961,471
20256944873465512,078
20266616947286082,691

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

全部扩散模型论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 2,690 篇，第 45 / 54 页

  1. NeurIPS 2026DUET: Unified Dual-Space Emotion Control for Diffusion and Flow-Matching Driven Text-to-Speech
  2. NeurIPS 2026Dynamic Representation Modeling for Federated Medical Image Domain Generalization
  3. NeurIPS 2026Dynamic Video Generation: Shaping Video Generation Across Time and Space
  4. NeurIPS 2026Dynamically Structured Diffusion Language Model Decoding via Bayesian Inference
  5. NeurIPS 2026EDISCO: Equivariant Discrete Diffusion for Euclidean Combinatorial Optimization
  6. NeurIPS 2026Edit-R2: Context-Aware Reinforcement Learning for Multi-Turn Image Editing
  7. NeurIPS 2026Efficient and Robust Physical 3DGS-MPM Simulation via Interior Filling and Text-Physics Optimization
  8. NeurIPS 2026Efficient Dataset Distillation for Pre-Trained Self-Supervised Models via Statistical Flow Matching
  9. NeurIPS 2026Efficient One-to-many Domain Translation via Diffusive Entropic Optimal Transport
  10. NeurIPS 2026Efficient Retrosynthesis Prediction with Integral Flow Matching and Latent Inversion
  11. NeurIPS 2026EGCA: A Spectral Perspective on Forward Process Design in Diffusion Models
  12. NeurIPS 2026EgoHMP: Achieving Precise Human Motion Prediction in 3D Scenes via Egocentric Cues
  13. NeurIPS 2026Emergence of Distortions in High-Dimensional Guided Diffusion Models
  14. NeurIPS 2026Empowering Masked Diffusion Models to Self-Correct with Leave-One-Out Transformers
  15. NeurIPS 2026Enabling Denoising Score Matching Type Training for Manifold Diffusion Model via Momentum and Splitting
  16. NeurIPS 2026Enabling Preference-driven Unlearning in Few-step Distilled Text-to-Image Diffusion Models
  17. NeurIPS 2026Enabling VLA Action Self-Verification via VLM Token Probability Bucketing
  18. NeurIPS 2026End-to-End Differentiable Diffusion Conditioning for Physics-Informed Optimization
  19. NeurIPS 2026Energy-Guided Transport for Projection-Free Physics-Informed Flow Matching
  20. NeurIPS 2026Energy-Tweedie: Score meets Score, Energy meets Energy
  21. NeurIPS 2026Enhanced convergence guarantees of score-based generative models in $\mathcal{W}_2$-distance beyond log-concavity
  22. NeurIPS 2026Enhancing Novel View Synthesis via Geometry Grounded Set Diffusion
  23. NeurIPS 2026Entangled Schrödinger Bridge Matching
  24. NeurIPS 2026EP-Flow: Disordered Crystal Structure Prediction without Site-level Annotation
  25. NeurIPS 2026EpicWorldModel: Exploration-driven Planning with Latent World Models
  26. NeurIPS 2026Epigenomics-Guided Flow Matching for 3D Genome Super-Resolution
  27. NeurIPS 2026Ergodic Trajectory Design by Learned Pushforward Maps: Provable Coverage via Conditional Flow Matching
  28. NeurIPS 2026Escaping the Curse of Dimensionality in One‑Step Flow-Based Generative Models
  29. NeurIPS 2026ESS-Flow: training-free guidance as Bayesian inference in source space
  30. NeurIPS 2026EverAnimate: Minute-Scale Human Animation via Latent Flow Restoration
  31. NeurIPS 2026Every Measurement, Every Direction, All at Once: Multimodal Flow Matching for Molecules and Spectra
  32. NeurIPS 2026Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution
  33. NeurIPS 2026Exact Channel Decoupling via Joint Diagonalization and Uniform Splicing for Diffusion Transformer Quantization
  34. NeurIPS 2026Exact Posterior Score Estimation for Solving Linear Inverse Problems
  35. NeurIPS 2026Example-Based Spatial Guidance for Training-Free Concept Erasure in Diffusion Models
  36. NeurIPS 2026Expanding Flow Maps
  37. NeurIPS 2026Expected Batch Optimal Transport Plans and Consequences for Flow Matching
  38. NeurIPS 2026Exploring Advertising Manipulation in Diffusion Image Generation
  39. NeurIPS 2026Exploring MLLM-Diffusion Information Transfer with MetaCanvas
  40. NeurIPS 2026Extracting Training Data from Diffusion Language Models via Infilling
  41. NeurIPS 2026ExtraVAR: Stage-Aware RoPE Remapping for Resolution Extrapolation in Visual Autoregressive Models
  42. NeurIPS 2026Extremely Sparse-View Computed Tomography from 2D Projections via Pose-Aware Diffusion Priors
  43. NeurIPS 2026F2G-Pose: Geometry-Aware Foundation Feature Lifting for Direct RGB-D Category-Level Object Pose Estimation
  44. NeurIPS 2026Factored Generative Models through Mechanism Diversity
  45. NeurIPS 2026FADE: Fractional Anomalous Dynamics Extrapolation for Training-Free Diffusion Transformers Acceleration
  46. NeurIPS 2026Fast Organic Crystal Structure Prediction with Unit Cell Flow Matching
  47. NeurIPS 2026FAST-Brain: A Flow-Aligned Spatio-Temporal Surrogate Brain Model
  48. NeurIPS 2026Fast-dLLM++: Fr\'{e}chet Profile Decoding for Faster Diffusion LLM Inference
  49. NeurIPS 2026FEAD: Fine-Grained Epipolar Attention Diffusion for Large-Disparity Light Field Spatial Super-Resolution
  50. NeurIPS 2026Feature Information Dynamics in Diffusion

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 查扩散模型在 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": "diffusion-models"}

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扩散模型论文？
共 6,900 篇，按年份分别是 2023 年 660 篇、2024 年 1,471 篇、2025 年 2,078 篇、2026 年 2,691 篇。
NeurIPS 2026 有多少篇扩散模型论文？
NeurIPS 2026 有 661 篇扩散模型论文，上一届是 694 篇。
ICLR 2026 有多少篇扩散模型论文？
ICLR 2026 有 694 篇扩散模型论文，上一届是 487 篇。
ICML 2026 有多少篇扩散模型论文？
ICML 2026 有 728 篇扩散模型论文，上一届是 346 篇。
CVPR 2026 有多少篇扩散模型论文？
CVPR 2026 有 608 篇扩散模型论文，上一届是 551 篇。
哪个会议的扩散模型论文最多？
NeurIPS，2023–2026 年共 2,202 篇。

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