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 728 篇，第 6 / 15 页
- ICML 2026FRIGID: Scaling Diffusion-Based Molecular Generation from Mass Spectra at Training and Inference Time
- ICML 2026From Bits to Rounds: Parallel Decoding with Exploration for Diffusion Language Models
- ICML 2026From Denoising to De-Channeling: Integrating Physical Channel Priors into Diffusion Models for Radio Signal Understanding
- ICML 2026From Inpainting to Editing: Unlocking Robust Mask-Free Visual Dubbing via Generative Bootstrapping
- ICML 2026From Noise to Control: Parameterized Diffusion Policies
- ICML 2026From Noise to Intent: Anchoring Generative VLA Policies with Residual Bridges
- ICML 2026Fully Zero-Shot Image Dehazing
- ICML 2026Functional Adjoint Sampler: Scalable Sampling on Infinite Dimensional Spaces
- ICML 2026FUSE: FK-Steered Multi-Modal Flow Matching for Efficient Simulation-Based Posterior Estimation
- ICML 2026GEM: Geometric Erasure by Contrastive Velocity Matching in Rectified Flows
- ICML 2026GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance
- ICML 2026General and Efficient Steering of Unconditional Diffusion Models
- ICML 2026Generalization Bounds for Discrete Diffusion: Statistical Advantage of Masking
- ICML 2026Generalized Discrete Diffusion with Self-Correction
- ICML 2026Generalized Schrödinger Bridge on Graphs
- ICML 2026Generative Adaptation of Dynamics to Environmental Shifts via Weight-space Diffusion
- ICML 2026Generative Inverse Design with Abstention via Diagonal Flow Matching
- ICML 2026Generative Large Neighborhood Search: Scalable Set Cover Optimization via Discrete Diffusion
- ICML 2026Generative Modeling of Discrete Latent Structures via Dynamic Policy Gradients
- ICML 2026Generative Neural Operators through Diffusion Last Layer
- ICML 2026Generative Online Reinforcement Learning
- ICML 2026Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion
- ICML 2026GenUnfold: Rapidly Predict Protein Mechanical Unfolding Trajectory via a Physics-Guided Diffusion Model
- ICML 2026Geodesic Flow Matching for Denoising High-Dimensional Structured Representations
- ICML 2026GeoFlow: Geo-Aware Modeling of Inter-Area Relationships in Origin-Destination Flow Prediction and Generation
- ICML 2026Geometric Decoupling: Diagnosing the Structural Instability of Latent
- ICML 2026Geometry-Aware Dataset Condensation for Diffusion Model Training
- ICML 2026Geometry-Aware Image Flow Matching
- ICML 2026Geometry-Aware Tabular Diffusion
- ICML 2026Geometry-Correct Diffusion Posterior Sampling with Denoiser-Pullback Curvature Guidance and Manifold-Aligned Damping
- ICML 2026Geometry-Guided Generative Representation for Functional Brain Graphs
- ICML 2026GEPC: Group-Equivariant Posterior Consistency for Out-of-Distribution Detection in Diffusion Models
- ICML 2026GLAD: Bidirectional Structure-Attribute Alignment via Latent Graph Diffusion Models
- ICML 2026GoodDiffusion: Proactive Copyright Protection for Diffusion Bridge Models via Learnable Sample-specific Signatures
- ICML 2026Graph-GRPO: Training Graph Flow Models with Reinforcement Learning
- ICML 2026Greedy Coordinate Diffusion: Effective and Semantically Coherent Adversarial Attacks via Diffusion Guidance
- ICML 2026GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors
- ICML 2026GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning
- ICML 2026Guided Star-Shaped Masked Diffusion
- ICML 2026GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance
- ICML 2026Hard-Constrained Graph Generation with Discrete-Projection Diffusion
- ICML 2026HDFlow: Hierarchical Diffusion-Flow Planning for Long-horizon Tasks
- ICML 2026High-accuracy and dimension-free sampling with diffusions
- ICML 2026High-Accuracy Sampling for Diffusion Models and Log-Concave Distributions
- ICML 2026HilbertA: Hilbert-Curve–Aligned Sparse Attention for 2D Structured Data
- ICML 2026History-Bootstrapped Flow Matching for Inverse Boiling Reconstruction
- ICML 2026How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?
- ICML 2026How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance
- ICML 2026Identifying Connectivity Distributions from Neural Dynamics Using Flows
- ICML 2026IDLM: Inverse-distilled Diffusion Language 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