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 6,899 篇，第 135 / 138 页

  1. NeurIPS 2023Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
  2. NeurIPS 2023FaceComposer: A Unified Model for Versatile Facial Content Creation
  3. NeurIPS 2023FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models
  4. NeurIPS 2023Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees
  5. NeurIPS 2023Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
  6. NeurIPS 2023FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing
  7. NeurIPS 2023Flow Matching for Scalable Simulation-Based Inference
  8. NeurIPS 2023Formulating Discrete Probability Flow Through Optimal Transport
  9. NeurIPS 2023Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator
  10. NeurIPS 2023From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion
  11. NeurIPS 2023Functional Renyi Differential Privacy for Generative Modeling
  12. NeurIPS 2023Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration
  13. NeurIPS 2023Gaussian Mixture Solvers for Diffusion Models
  14. NeurIPS 2023Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion
  15. NeurIPS 2023Generating Behaviorally Diverse Policies with Latent Diffusion Models
  16. NeurIPS 2023Generative Category-level Object Pose Estimation via Diffusion Models
  17. NeurIPS 2023Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
  18. NeurIPS 2023Generative Neural Fields by Mixtures of Neural Implicit Functions
  19. NeurIPS 2023GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
  20. NeurIPS 2023Geometric Neural Diffusion Processes
  21. NeurIPS 2023Global Structure-Aware Diffusion Process for Low-light Image Enhancement
  22. NeurIPS 2023GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodER
  23. NeurIPS 2023GlyphControl: Glyph Conditional Control for Visual Text Generation
  24. NeurIPS 2023GMSF: Global Matching Scene Flow
  25. NeurIPS 2023GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints
  26. NeurIPS 2023Graph Denoising Diffusion for Inverse Protein Folding
  27. NeurIPS 2023Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
  28. NeurIPS 2023HeadSculpt: Crafting 3D Head Avatars with Text
  29. NeurIPS 2023Hierarchical Integration Diffusion Model for Realistic Image Deblurring
  30. NeurIPS 2023Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration
  31. NeurIPS 2023ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation
  32. NeurIPS 2023Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion
  33. NeurIPS 2023Implicit Transfer Operator Learning: Multiple Time-Resolution Models for Molecular Dynamics
  34. NeurIPS 2023IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI
  35. NeurIPS 2023Improving Diffusion-Based Image Synthesis with Context Prediction
  36. NeurIPS 2023In-Context Learning Unlocked for Diffusion Models
  37. NeurIPS 2023Incomplete Multimodality-Diffused Emotion Recognition
  38. NeurIPS 2023InsActor: Instruction-driven Physics-based Characters
  39. NeurIPS 2023Inserting Anybody in Diffusion Models via Celeb Basis
  40. NeurIPS 2023Intervention Generalization: A View from Factor Graph Models
  41. NeurIPS 2023Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics
  42. NeurIPS 2023Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
  43. NeurIPS 2023Knowledge Diffusion for Distillation
  44. NeurIPS 2023L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors
  45. NeurIPS 2023Label-Only Model Inversion Attacks via Knowledge Transfer
  46. NeurIPS 2023Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels
  47. NeurIPS 2023LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
  48. NeurIPS 2023Language-driven Scene Synthesis using Multi-conditional Diffusion Model
  49. NeurIPS 2023Latent Diffusion for Language Generation
  50. NeurIPS 2023Learning a 1-layer conditional generative model in total variation

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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