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 1,378 篇，第 19 / 28 页
- ICML 2025KGMark: A Diffusion Watermark for Knowledge Graphs
- ICML 2025KIND: Knowledge Integration and Diversion for Training Decomposable Models
- ICML 2025Kinetic Langevin Diffusion for Crystalline Materials Generation
- ICML 2025L-Diffusion: Laplace Diffusion for Efficient Pathology Image Segmentation
- ICML 2025Large Language Models to Diffusion Finetuning
- ICML 2025Latent Diffusion Planning for Imitation Learning
- ICML 2025Latent Thought Models with Variational Bayes Inference-Time Computation
- ICML 2025LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models
- ICML 2025Learning Distances from Data with Normalizing Flows and Score Matching
- ICML 2025Learning Single Index Models with Diffusion Priors
- ICML 2025Learning to Match Unpaired Data with Minimum Entropy Coupling
- ICML 2025Learnings from Scaling Visual Tokenizers for Reconstruction and Generation
- ICML 2025Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection
- ICML 2025Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models
- ICML 2025LGDM: Latent Guidance in Diffusion Models for Perceptual Evaluations
- ICML 2025LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos
- ICML 2025LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces
- ICML 2025Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning
- ICML 2025Locality Preserving Markovian Transition for Instance Retrieval
- ICML 2025Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model
- ICML 2025LSCD: Lomb--Scargle Conditioned Diffusion for Time series Imputation
- ICML 2025M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation
- ICML 2025Masked Autoencoders Are Effective Tokenizers for Diffusion Models
- ICML 2025Maximum Entropy Reinforcement Learning with Diffusion Policy
- ICML 2025MDDM: Practical Message-Driven Generative Image Steganography Based on Diffusion Models
- ICML 2025Mechanisms of Projective Composition of Diffusion Models
- ICML 2025MGD$^3$ : Mode-Guided Dataset Distillation using Diffusion Models
- ICML 2025MindCustomer: Multi-Context Image Generation Blended with Brain Signal
- ICML 2025Minimalist Concept Erasure in Generative Models
- ICML 2025MIRROR: Make Your Object-Level Multi-View Generation More Consistent with Training-Free Rectification
- ICML 2025MissScore: High-Order Score Estimation in the Presence of Missing Data
- ICML 2025MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger Bridges
- ICML 2025Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization
- ICML 2025MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
- ICML 2025Monte Carlo Tree Diffusion for System 2 Planning
- ICML 2025Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models
- ICML 2025MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost
- ICML 2025Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
- ICML 2025Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion
- ICML 2025Multilayer Matrix Factorization via Dimension-Reducing Diffusion Variational Inference
- ICML 2025Multiobjective distribution matching
- ICML 2025NETS: A Non-equilibrium Transport Sampler
- ICML 2025Neural Guided Diffusion Bridges
- ICML 2025NMA-tune: Generating Highly Designable and Dynamics Aware Protein Backbones
- ICML 2025Noise Conditional Variational Score Distillation
- ICML 2025Noise-Guided Predicate Representation Extraction and Diffusion-Enhanced Discretization for Scene Graph Generation
- ICML 2025Non-stationary Diffusion For Probabilistic Time Series Forecasting
- ICML 2025Normalizing Flows are Capable Generative Models
- ICML 2025NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction
- ICML 2025Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
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