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 728 篇，第 1 / 15 页

1. ICML 2026“Do Diffusion Models Dream of Electric Planes?” Discrete and Continuous Simulation-Based Inference for Aircraft Design
2. ICML 2026$\sigma$: Sigmoid Modulation for Ultra High Resolution Diffusion
3. ICML 2026A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots
4. ICML 2026A Diffusive Classification Loss for Learning Energy-based Generative Models
5. ICML 2026A Kinetic Energy Perspective of Flow Matching
6. ICML 2026A Machine-Learned Comorbidity Index
7. ICML 2026A Random Matrix Perspective on the Consistency of Diffusion Models
8. ICML 2026A Regime-Aware Trajectory Prediction Framework for 1000+ Systems Biology Models
9. ICML 2026A theory of learning data statistics in diffusion models, from easy to hard
10. ICML 2026A Time-Reparameterized Cumulative Intensity Extrapolation Sampler for Discrete Flow Matching
11. ICML 2026A Unified Density Operator View of Flow Control and Merging
12. ICML 2026A Unified Framework for Diffusion Model Unlearning with f-Divergence
13. ICML 2026AAD-1: Asymmetric Adversarial Distillation for One-Step Autoregressive Video Generation
14. ICML 2026Absorbing Quantization Error by Deformable Noise Scheduler for Diffusion Models
15. ICML 2026Adapting Noise to Data: Generative Flows from Learned 1D Processes
16. ICML 2026Adaptive Protein Tokenization
17. ICML 2026Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models
18. ICML 2026Adversarial Attack and Defense for Denoising Diffusion Sampling
19. ICML 2026Adversarial Dual On-Policy Distillation from Expressive Teacher
20. ICML 2026Adversarial Reinforcement Learning for Robust Diffusion Large Language Model Unlearning
21. ICML 2026AG-REPA: Causal Layer Selection for Representation Alignment in Audio Flow Matching
22. ICML 2026Alethia: a Foundational Encoder for Voice Deepfakes
23. ICML 2026Align Your Trajectory Tangent: Training Better Consistency Models via Manifold-Aligned Tangents
24. ICML 2026Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion Models
25. ICML 2026Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO
26. ICML 2026Ambient Dataloops: Generative Models for Dataset Refinement
27. ICML 2026Anomaly-Preference Image Generation
28. ICML 2026Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture
29. ICML 2026AnyBand-Diff: A Unified Remote Sensing Image Generation and Band Repair Framework with Spectral Priors
30. ICML 2026Approximating Drift-Diffusion Models for User Decisions under Nudging and External Information
31. ICML 2026ArcDAE: Asymmetric Rectified Contrastive Diffusion Autoencoder for Unified Representation Learning
32. ICML 2026Are First-Order Diffusion Samplers Really Slower? A Fast Forward-Value Approach
33. ICML 2026ASIR: Steganography for Diffusion Models via Antipodal Sampling and Iterative Recovery
34. ICML 2026Attention Sinks in Diffusion Transformers: A Causal Analysis
35. ICML 2026Attention Sparsity is Input-Stable: Training-Free Sparse Attention for Video Generation via Offline Sparsity Profiling and Online QK Co-Clustering
36. ICML 2026Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions
37. ICML 2026AugMask: Training Diffusion Models on Incomplete Tabular Data via Stochastic Augmentation and Masking
38. ICML 2026Backward SDE–Based Diffusion for Physics-Constrained Generation
39. ICML 2026Balancing Fidelity and Diversity in Diffusion Models via Symmetric Attention Decomposition: Hopfield Perspective
40. ICML 2026Balancing Understanding and Generation in Discrete Diffusion Models
41. ICML 2026Bayesian Rain Field Reconstruction using Commercial Microwave Links and Diffusion Model Priors
42. ICML 2026Bayesian Tensor Decomposition with Diffusion Model Prior
43. ICML 2026Benchmarking and Improving Fine-Grained Text-to-Image Alignment via Paired Reinforcement Learning
44. ICML 2026Best of Both Worlds: Multimodal Reasoning and Generation via Unified Discrete Flow Matching
45. ICML 2026Beyond Confidence: Adaptive and Coherent Decoding for Diffusion Language Models
46. ICML 2026Beyond Generative Priors: Minority Sampling with JEPA-Guided Diffusion
47. ICML 2026Beyond Independent Genes: Learning Module-Inductive Representations for Single-Cell Gene Perturbation Prediction
48. ICML 2026Beyond Language Modeling: An Exploration of Multimodal Pretraining
49. ICML 2026Beyond Pixel Histories: World Models with Persistent 3D State
50. ICML 2026Beyond Single Embedding: Modeling User Preferences as Distribution in Federated Recommendation

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。