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

共 2,690 篇,第 20 / 54 页

  1. ICLR 2026Inpainting-Guided Policy Optimization for Diffusion Large Language Models
  2. ICLR 2026Intention-Conditioned Flow Occupancy Models
  3. ICLR 2026Interaction Field Matching: Overcoming Limitations of Electrostatic Models
  4. ICLR 2026Interpolation-Based Conditioning of Flow Matching Models for Bioisosteric Ligand Design
  5. ICLR 2026Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed Individuals
  6. ICLR 2026Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design
  7. ICLR 2026JavisDiT++: Unified Modeling and Optimization for Joint Audio-Video Generation
  8. ICLR 2026Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-based Models
  9. ICLR 2026JointDiff: Bridging Continuous and Discrete in Multi-Agent Trajectory Generation
  10. ICLR 2026KernelFusion: Zero-Shot Blind Super-Resolution via Patch Diffusion
  11. ICLR 2026KinemaDiff: Towards Diffusion for Coherent and Physically Plausible Human Motion Prediction
  12. ICLR 2026La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching
  13. ICLR 2026LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
  14. ICLR 2026Landing with the Score: Riemannian Optimization through Denoising
  15. ICLR 2026Laplacian Multi-scale Flow Matching for Generative Modeling
  16. ICLR 2026Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
  17. ICLR 2026Latent Diffusion Model without Variational Autoencoder
  18. ICLR 2026Latent Fourier Transform
  19. ICLR 2026Latent Stochastic Interpolants
  20. ICLR 2026Latent Wavelet Diffusion For Ultra High-Resolution Image Synthesis
  21. ICLR 2026Latent-to-Data Cascaded Diffusion Models for Unconditional Time Series Generation
  22. ICLR 2026Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation
  23. ICLR 2026LayerSync: Self-aligning Intermediate Layers
  24. ICLR 2026LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence
  25. ICLR 2026Learn to Guide Your Diffusion Model
  26. ICLR 2026Learnable Sparsity for Vision Generative Models
  27. ICLR 2026Learning a distance measure from the information-estimation geometry of data
  28. ICLR 2026Learning an Image Editing Model without Image Editing Pairs
  29. ICLR 2026Learning Escorted Protocols For Multistate Free-Energy Estimation
  30. ICLR 2026Learning Flexible Forward Trajectories for Masked Molecular Diffusion
  31. ICLR 2026Learning from Noisy Preferences: A Semi-Supervised Learning Approach to Direct Preference Optimization
  32. ICLR 2026Learning Patient-Specific Disease Dynamics With Latent Flow Matching For Longitudinal Imaging Generation
  33. ICLR 2026Learning to Generate Stylized Handwritten Text via a Unified Representation of Style, Content, and Noise
  34. ICLR 2026Learning to Parallel: Accelerating Diffusion Large Language Models via Adaptive Parallel Decoding
  35. ICLR 2026Learning Video Generation for Robotic Manipulation with Collaborative Trajectory Control
  36. ICLR 2026LearnIR: Learnable Posterior Sampling for Real-World Image Restoration
  37. ICLR 2026Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers
  38. ICLR 2026LightCtrl: Training-free Controllable Video Relighting
  39. ICLR 2026LiTo: Surface Light Field Tokenization
  40. ICLR 2026Localized Concept Erasure in Text-to-Image Diffusion Models via High-Level Representation Misdirection
  41. ICLR 2026Logit‑KL Flow Matching: Non‑Autoregressive Text Generation via Sampling‑Hybrid Inference
  42. ICLR 2026Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall
  43. ICLR 2026LoRA meets Riemannion: Muon Optimizer for Parametrization-independent Low-Rank Adapters
  44. ICLR 2026LoRAGen: Structure-Aware Weight Space Learning for LoRA Generation
  45. ICLR 2026Low-Rank Few-Shot Node Classification by Node-Level Graph Diffusion
  46. ICLR 2026LucidFlux: Caption-Free Universal Image Restoration via a Large-Scale Diffusion Transformer
  47. ICLR 2026LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Context
  48. ICLR 2026Lumos-1: On Autoregressive Video Generation with Discrete Diffusion from a Unified Model Perspective
  49. ICLR 2026LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation
  50. ICLR 2026LVTINO: LAtent Video consisTency INverse sOlver for High Definition Video Restoration

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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