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 694 篇，第 11 / 14 页

  1. ICLR 2026RAPID$^3$: Tri-Level Reinforced Acceleration Policies for Diffusion Transformer
  2. ICLR 2026ReactDance: Hierarchical Representation for High-Fidelity and Coherent Long-Form Reactive Dance Generation
  3. ICLR 2026ReactID: Synchronizing Realistic Actions and Identity in Personalized Video Generation
  4. ICLR 2026Real-Time Motion-Controllable Autoregressive Video Diffusion
  5. ICLR 2026Realtime Video Frame Interpolation using One-Step Diffusion Sampling
  6. ICLR 2026reAR: Rethinking Visual Autoregressive Models via Token-wise Consistency Regularization
  7. ICLR 2026Reconciling Visual Perception and Generation in Diffusion Models
  8. ICLR 2026Recover Cell Tensor: Diffusion-Equivalent Tensor Completion for Fluorescence Microscopy Imaging
  9. ICLR 2026ReDDiT: Rehashing Noise for Discrete Visual Generation
  10. ICLR 2026RefAny3D: 3D Asset-Referenced Diffusion Models for Image Generation
  11. ICLR 2026ReFocusEraser: Refocusing for Small Object Removal with Robust Context-Shadow Repair
  12. ICLR 2026ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding
  13. ICLR 2026RegionE: Adaptive Region-Aware Generation for Efficient Image Editing
  14. ICLR 2026Reinforcing Diffusion Models by Direct Group Preference Optimization
  15. ICLR 2026Relational Feature Caching for Accelerating Diffusion Transformers
  16. ICLR 2026Representation Alignment for Diffusion Transformers without External Components
  17. ICLR 2026Resp-Agent: An Agent-Based System for Multimodal Respiratory Sound Generation and Disease Diagnosis
  18. ICLR 2026RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration
  19. ICLR 2026Revisiting Global Text Conditioning in Diffusion Transformers
  20. ICLR 2026Revisiting Tree-Sliced Wasserstein Distance Through the Lens of the Fermat–Weber Problem
  21. ICLR 2026Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models
  22. ICLR 2026RFS: Reinforcement learning with Residual flow steering for dexterous manipulation
  23. ICLR 2026RIDER: 3D RNA Inverse Design with Reinforcement Learning-Guided Diffusion
  24. ICLR 2026Riemannian Variational Flow Matching for Material and Protein Design
  25. ICLR 2026RigidSSL: Rigidity-based Geometric Pretraining for Protein Generation
  26. ICLR 2026RMFlow: Refined Mean Flow by a Noise-Injection Step for Multimodal Generation
  27. ICLR 2026RNE: plug-and-play diffusion inference-time control and energy-based training
  28. ICLR 2026Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations
  29. ICLR 2026Robust Generalized Schr\"{o}dinger Bridge via Sparse Variational Gaussian Processes
  30. ICLR 2026Robustness of Probabilistic Models to Low-Quality Data: A Multi-Perspective Analysis
  31. ICLR 2026Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance
  32. ICLR 2026S$^2$-Guidance: Stochastic Self-Guidance for Training-Free Enhancement of Diffusion Models
  33. ICLR 2026S3OD: Towards Generalizable Salient Object Detection with Synthetic Data
  34. ICLR 2026SafeFlowMatcher: Safe and Fast Planning using Flow Matching with Control Barrier Functions
  35. ICLR 2026SAFETY-GUIDED FLOW (SGF): A UNIFIED FRAMEWORK FOR NEGATIVE GUIDANCE IN SAFE GENERATION
  36. ICLR 2026SAIL: Self-Amplified Iterative Learning for Diffusion Model Alignment with Minimal Human Feedback
  37. ICLR 2026Sample Reward Soups: Query-efficient Multi-Reward Guidance for Text-to-Image Diffusion Models
  38. ICLR 2026Sample-efficient evidence estimation of score based priors for model selection
  39. ICLR 2026SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer
  40. ICLR 2026Scalable Energy-Based Models via Adversarial Training: Unifying Discrimination and Generation
  41. ICLR 2026Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics
  42. ICLR 2026Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization
  43. ICLR 2026Scale-wise Distillation of Diffusion Models
  44. ICLR 2026Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute
  45. ICLR 2026Scaling Bayesian Experimental Design to High-Dimensions with Information-Guided Diffusion
  46. ICLR 2026Scaling Behavior of Discrete Diffusion Language Models
  47. ICLR 2026Scaling Group Inference for Diverse and High-Quality Generation
  48. ICLR 2026Scaling Laws for Diffusion Transformers
  49. ICLR 2026Scaling Speech Tokenizers with Diffusion Autoencoders
  50. ICLR 2026ScalingCache: Extreme Acceleration of DiTs through Difference Scaling and Dynamic Interval Caching

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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