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 660 篇，第 12 / 14 页
- NeurIPS 2023P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting
- NeurIPS 2023PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation
- NeurIPS 2023Parallel Sampling of Diffusion Models
- NeurIPS 2023Particle-based Variational Inference with Generalized Wasserstein Gradient Flow
- NeurIPS 2023Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
- NeurIPS 2023PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
- NeurIPS 2023PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation
- NeurIPS 2023Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability
- NeurIPS 2023PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
- NeurIPS 2023PHOTOSWAP: Personalized Subject Swapping in Images
- NeurIPS 2023PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model
- NeurIPS 2023Point Cloud Completion with Pretrained Text-to-Image Diffusion Models
- NeurIPS 2023PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models
- NeurIPS 2023Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
- NeurIPS 2023Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
- NeurIPS 2023Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows
- NeurIPS 2023Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting
- NeurIPS 2023Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model
- NeurIPS 2023PreDiff: Precipitation Nowcasting with Latent Diffusion Models
- NeurIPS 2023PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation
- NeurIPS 2023Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models
- NeurIPS 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
- NeurIPS 2023Protein Design with Guided Discrete Diffusion
- NeurIPS 2023ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
- NeurIPS 2023Provable benefits of score matching
- NeurIPS 2023Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior
- NeurIPS 2023PTQD: Accurate Post-Training Quantization for Diffusion Models
- NeurIPS 2023Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion
- NeurIPS 2023Puzzlefusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving
- NeurIPS 2023Q-DM: An Efficient Low-bit Quantized Diffusion Model
- NeurIPS 2023RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
- NeurIPS 2023Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals
- NeurIPS 2023Real-World Image Variation by Aligning Diffusion Inversion Chain
- NeurIPS 2023Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
- NeurIPS 2023Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans
- NeurIPS 2023Regret Matching+: (In)Stability and Fast Convergence in Games
- NeurIPS 2023Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification
- NeurIPS 2023ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
- NeurIPS 2023Restart Sampling for Improving Generative Processes
- NeurIPS 2023Rethinking Conditional Diffusion Sampling with Progressive Guidance
- NeurIPS 2023Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement
- NeurIPS 2023SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
- NeurIPS 2023Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling
- NeurIPS 2023ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection
- NeurIPS 2023Scaling Riemannian Diffusion Models
- NeurIPS 2023Score-based Data Assimilation
- NeurIPS 2023Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces
- NeurIPS 2023Score-based Generative Models with Lévy Processes
- NeurIPS 2023Score-based Source Separation with Applications to Digital Communication Signals
- NeurIPS 2023SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation
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