扩散模型论文趋势 2023–2026

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。

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 109 篇，第 1 / 3 页

1. ICML 2023A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
2. ICML 2023A Flexible Diffusion Model
3. ICML 2023A Statistical Perspective on Retrieval-Based Models
4. ICML 2023A theory of continuous generative flow networks
5. ICML 2023AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
6. ICML 2023Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
7. ICML 2023Analyzing Diffusion as Serial Reproduction
8. ICML 2023Are Diffusion Models Vulnerable to Membership Inference Attacks?
9. ICML 2023Attributing Image Generative Models using Latent Fingerprints
10. ICML 2023AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
11. ICML 2023Autoregressive Diffusion Model for Graph Generation
12. ICML 2023Better Diffusion Models Further Improve Adversarial Training
13. ICML 2023Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
14. ICML 2023Causal Proxy Models for Concept-based Model Explanations
15. ICML 2023Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
16. ICML 2023CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis
17. ICML 2023COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models
18. ICML 2023Composer: Creative and Controllable Image Synthesis with Composable Conditions
19. ICML 2023Compositional Score Modeling for Simulation-Based Inference
20. ICML 2023Conditionally Strongly Log-Concave Generative Models
21. ICML 2023Cones: Concept Neurons in Diffusion Models for Customized Generation
22. ICML 2023Consistency Models
23. ICML 2023Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning
24. ICML 2023DDGR: Continual Learning with Deep Diffusion-based Generative Replay
25. ICML 2023DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
26. ICML 2023Denoising MCMC for Accelerating Diffusion-Based Generative Models
27. ICML 2023Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score
28. ICML 2023Diffusion Based Representation Learning
29. ICML 2023Diffusion Models are Minimax Optimal Distribution Estimators
30. ICML 2023Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
31. ICML 2023Diffusion Models for Black-Box Optimization
32. ICML 2023Dirichlet Diffusion Score Model for Biological Sequence Generation
33. ICML 2023Distributional Offline Policy Evaluation with Predictive Error Guarantees
34. ICML 2023Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation
35. ICML 2023Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
36. ICML 2023Explaining the effects of non-convergent MCMC in the training of Energy-Based Models
37. ICML 2023Exploiting locality in high-dimensional Factorial hidden Markov models
38. ICML 2023Fast Sampling of Diffusion Models via Operator Learning
39. ICML 2023FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation
40. ICML 2023Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds
41. ICML 2023Geometric Latent Diffusion Models for 3D Molecule Generation
42. ICML 2023GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
43. ICML 2023Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond
44. ICML 2023Graphically Structured Diffusion Models
45. ICML 2023GREAD: Graph Neural Reaction-Diffusion Networks
46. ICML 2023Hierarchical Diffusion for Offline Decision Making
47. ICML 2023How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control
48. ICML 2023Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
49. ICML 2023I$^2$SB: Image-to-Image Schrödinger Bridge
50. ICML 2023Image generation with shortest path diffusion

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。