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
- 扩散模型论文从 2023 年的 660 篇增长到 2026 年的 2,691 篇，三年间扩大到约 4.1 倍。
- NeurIPS 是发扩散模型论文最多的会议，2023–2026 年共 2,202 篇，占四个会议总量的 32%。
- 交叉方向里涨得最快的是应用 · chemistry physics and earth sciences：同时属于两个主题的论文从 2023 年的 14 篇增至 2026 年的 163 篇。
- 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 1；同组增长最快的深度学习 · foundation models是 2.5 倍，扩散模型是 4.1 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 327 | 86 | 109 | 138 | 660 |
| 2024 | 520 | 260 | 195 | 496 | 1,471 |
| 2025 | 694 | 487 | 346 | 551 | 2,078 |
| 2026 | 661 | 694 | 728 | 608 | 2,691 |
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
- NeurIPS 2026$\mathbf{D^{3}S^{2}}$: Diffusion-Guided Dataset Distillation for Semantic Segmentation
- ICML 2026“Do Diffusion Models Dream of Electric Planes?” Discrete and Continuous Simulation-Based Inference for Aircraft Design
- ICLR 2026$\alpha$-DPO: Robust Preference Alignment for Diffusion Models via $\alpha$ Divergence
- CVPR 20262ndMatch Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching
- NeurIPS 2025$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
- ICML 2025A First-order Generative Bilevel Optimization Framework for Diffusion Models
- ICLR 2025$\text{I}^2\text{AM}$: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
- CVPR 20253DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement
- NeurIPS 2024$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation
- ICML 2024A Dense Reward View on Aligning Text-to-Image Diffusion with Preference
- ICLR 2024$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
- CVPR 2024D^4: Dataset Distillation via Disentangled Diffusion Model
- NeurIPS 20233D molecule generation by denoising voxel grids
- ICML 2023A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
- ICLR 2023(Certified!!) Adversarial Robustness for Free!
- CVPR 20233D Neural Field Generation Using Triplane Diffusion
- NeurIPS 2026$\text{PartConcepts}$: A Unified Mechanism for Fine-Grained Part Localization and Generation
- ICML 2026$\sigma$: Sigmoid Modulation for Ultra High Resolution Diffusion
- ICLR 2026$\textit{MADFormer}$: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation
- CVPR 20263D-LATTE Latent Space 3D Editing from Textual Instructions
全部扩散模型论文
共 2,078 篇，第 18 / 42 页
- ICLR 2025MVTokenFlow: High-quality 4D Content Generation using Multiview Token Flow
- ICLR 2025Neural Approximate Mirror Maps for Constrained Diffusion Models
- ICLR 2025Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry
- ICLR 2025NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
- ICLR 2025No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models
- ICLR 2025Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
- ICLR 2025Not-So-Optimal Transport Flows for 3D Point Cloud Generation
- ICLR 2025NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer
- ICLR 2025O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions
- ICLR 2025OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision
- ICLR 2025OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation
- ICLR 2025On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality
- ICLR 2025On the Crucial Role of Initialization for Matrix Factorization
- ICLR 2025On the Feature Learning in Diffusion Models
- ICLR 2025One Step Diffusion via Shortcut Models
- ICLR 2025One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt
- ICLR 2025Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
- ICLR 2025Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model
- ICLR 2025PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction
- ICLR 2025ParaSolver: A Hierarchical Parallel Integral Solver for Diffusion Models
- ICLR 2025ParetoFlow: Guided Flows in Multi-Objective Optimization
- ICLR 2025Periodic Materials Generation using Text-Guided Joint Diffusion Model
- ICLR 2025PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation
- ICLR 2025Personalized Representation from Personalized Generation
- ICLR 2025PFDiff: Training-Free Acceleration of Diffusion Models Combining Past and Future Scores
- ICLR 2025PharmacoMatch: Efficient 3D Pharmacophore Screening via Neural Subgraph Matching
- ICLR 2025Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
- ICLR 2025Physics-aligned field reconstruction with diffusion bridge
- ICLR 2025Physics-Informed Diffusion Models
- ICLR 2025PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions
- ICLR 2025PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
- ICLR 2025Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation
- ICLR 2025PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling
- ICLR 2025Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
- ICLR 2025Precise Parameter Localization for Textual Generation in Diffusion Models
- ICLR 2025Preference Diffusion for Recommendation
- ICLR 2025Presto! Distilling Steps and Layers for Accelerating Music Generation
- ICLR 2025Prioritized Generative Replay
- ICLR 2025Probing the Latent Hierarchical Structure of Data via Diffusion Models
- ICLR 2025Progressive Compositionality in Text-to-Image Generative Models
- ICLR 2025Progressive Compression with Universally Quantized Diffusion Models
- ICLR 2025ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids
- ICLR 2025Proteina: Scaling Flow-based Protein Structure Generative Models
- ICLR 2025ProtPainter: Draw or Drag Protein via Topology-guided Diffusion
- ICLR 2025Provable Convergence Bounds for Hybrid Dynamical Sampling and Optimization
- ICLR 2025PT-T2I/V: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Image/Video-Task
- ICLR 2025PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify
- ICLR 2025Pyramidal Flow Matching for Efficient Video Generative Modeling
- ICLR 2025QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation
- ICLR 2025RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models
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"}
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。
「深度学习」下的其他主题
- 深度学习 · generative models and autoencoders 4,314
- 深度学习 · large language models 2,334
- 深度学习 · self supervised learning 1,958
- 深度学习 · graph neural networks 1,648
- 深度学习 · optimization 953
- 深度学习 · representation learning 802
- 深度学习 · probabilistic methods 637
- 深度学习 · foundation models 536
- 深度学习 · causal inference 316
- 深度学习 · transfer learning 197