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 49 / 54 页

  1. NeurIPS 2026Mesh BDF: Barycentric Dominance Field for 3D Native Mesh Generation
  2. NeurIPS 2026Metric Depth Estimation from Arbitrarily Degraded Low-Resolution Depth Prompts
  3. NeurIPS 2026Metropolis-Adjusted Diffusion Models
  4. NeurIPS 2026MFlowAudio: Efficient Text-to-Audio Synthesis via Mamba-based Stateful Flow Matching
  5. NeurIPS 2026MiCo: Microstructure-Consistent Flow Matching for Diffusion MRI Angular Super-Resolution
  6. NeurIPS 2026MilliVid: Adaptive Latents for Long-Range Consistency in Video Generation
  7. NeurIPS 2026MissPath-FM: Flow Matching with Structured Priors for Partially Observed Time Series
  8. NeurIPS 2026Mitigating Compounding Errors in Online Reinforcement Learning via Optimal Transport Regularized Flow Matching
  9. NeurIPS 2026Mitigating Over-squashing without Rewiring: A Sheaf Effective Resistance Perspective
  10. NeurIPS 2026Mix-Opt: Mixed Optimization for Memory-Efficient Personalization of Text-to-Image Diffusion Models
  11. NeurIPS 2026Mixed-Curvature Geometric Latent Diffusion Model for Graph Generation
  12. NeurIPS 2026MobileWan: Closing the Quality Gap for Mobile Video Diffusion
  13. NeurIPS 2026MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models
  14. NeurIPS 2026MonarchRT: Efficient Attention for Real-Time Video Generation
  15. NeurIPS 2026MONET: A Massive, Open, Non-redundant and Enriched Text-to-image dataset
  16. NeurIPS 2026MotionGrounder: Grounded Multi-Object Motion Transfer via Diffusion Transformer
  17. NeurIPS 2026Move on Muon : A Hamiltonian probability gradient flow perspective of Muon optimizer
  18. NeurIPS 2026Multilevel and Sequential Monte Carlo for Training-Free Diffusion Guidance
  19. NeurIPS 2026MUNI: Multimodal Unified Latent Diffusion for Coherent Any-to-Any Generation
  20. NeurIPS 2026My Video Stays Mine: Temporally Consistent Universal Adversarial Perturbations against Video Customization
  21. NeurIPS 2026NAGO: Noise-Aware Generative Operator via Flow Matching
  22. NeurIPS 2026Nahual: A Sequence Model for Language and Atoms
  23. NeurIPS 2026NDPP-Grasp: Non-Differentiable Physical Plausibility Constraint-Guided Task-Oriented Dexterous Grasp Generation
  24. NeurIPS 2026NEAT: Neighborhood-Guided, Efficient, Autoregressive Set Transformer for 3D Molecular Generation
  25. NeurIPS 2026Neural Continuous-Time Markov Chain: Discrete Diffusion via Decoupled Jump Timing and Direction
  26. NeurIPS 2026Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries
  27. NeurIPS 2026Noise-Started One-Step Image Super-Resolution via LR-Conditioned SplitMeanFlow and GAN Refinement
  28. NeurIPS 2026Normalizing Flows are Capable Trajectory Planners
  29. NeurIPS 2026Normalizing Trajectory Models
  30. NeurIPS 2026NSARM: Next-Scale Autoregressive Modeling for Robust Real-World Image Super-Resolution
  31. NeurIPS 2026ODDR: One-Step Deshadow Diffusion via Reward Guidance
  32. NeurIPS 2026Offline Inverse Reinforcement Learning with Unified Diffusion Planning
  33. NeurIPS 2026On Reparameterizing the Score Function
  34. NeurIPS 2026On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization
  35. NeurIPS 2026On the Limits of Latent Reuse in Diffusion Models
  36. NeurIPS 2026On the Memorization of Consistency Distillation for Diffusion Models
  37. NeurIPS 2026Opening the Black Box of Classifier-Free Guidance via Information Bottleneck
  38. NeurIPS 2026OpenVTON-Bench: A Large-Scale High-Resolution Benchmark for Controllable Virtual Try-On Evaluation
  39. NeurIPS 2026Optimal Convergence Analysis of DDPM for General Distributions
  40. NeurIPS 2026ORCA: Hunting Compositional Failures in Text-to-Image Diffusion
  41. NeurIPS 2026Order-Marginalized Scoring for Masked Diffusion Models
  42. NeurIPS 2026Order-Optimal Sample Complexity for Distribution Learning via Flow Matching
  43. NeurIPS 2026Orthrus: Memory-Efficient Parallel Token Generation via Dual-View Diffusion
  44. NeurIPS 2026Outlier-robust Diffusion Posterior Sampling for Bayesian Inverse Problems
  45. NeurIPS 2026Oversmoothing as Representation Degeneracy in Neural Sheaf Diffusion
  46. NeurIPS 2026PACE-dLLM: Elastic Block Decoding via Confidence Cliff Estimation for Diffusion Language Models
  47. NeurIPS 2026Panoptic Scene Program Diffusion Transformer
  48. NeurIPS 2026Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation
  49. NeurIPS 2026ParaPC-FM: Accelerating Parallel Sampling via Principled Initialization
  50. NeurIPS 2026Path-Guided Flow Matching for Dataset Distillation

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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