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 694 篇，第 10 / 14 页
- ICLR 2026One2Scene: Geometric Consistent Explorable 3D Scene Generation from a Single Image
- ICLR 2026Overshoot and Shrinkage in Classifier-Free Guidance: From Theory to Practice
- ICLR 2026OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction
- ICLR 2026P3D: Highly Scalable 3D Neural Surrogates for Physics Simulations with Global Context
- ICLR 2026PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models
- ICLR 2026Pallatom-Ligand: an All-Atom Diffusion Model for Designing Ligand-Binding Proteins
- ICLR 2026Parallel Multimodal Diffusion Language Models for Thinking-Aware Editing and Generation
- ICLR 2026Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing
- ICLR 2026ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs
- ICLR 2026Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization
- ICLR 2026Partition Generative Modeling: Masked Modeling Without Masks
- ICLR 2026Patronus: Interpretable Diffusion Models with Prototypes
- ICLR 2026PepTri: Tri-Guided All-Atom Diffusion for Peptide Design via Physics, Evolution, and Mutual Information
- ICLR 2026Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection
- ICLR 2026Physics vs Distributions: Pareto Optimal Flow Matching with Physics Constraints
- ICLR 2026Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems
- ICLR 2026pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation
- ICLR 2026PI-Light: Physics-Inspired Diffusion for Full-Image Relighting
- ICLR 2026PICS: Pairwise Image Compositing with Spatial Interactions
- ICLR 2026PINFDiT: Energy-Based Physics-Informed Diffusion Transformers for General-purpose Time Series Tasks
- ICLR 2026Pixel-Level Residual Diffusion Transformer: Scalable 3D CT Volume Generation
- ICLR 2026Pixel-Perfect Puppetry: Precision-Guided Enhancement for Face Image and Video Editing
- ICLR 2026PixNerd: Pixel Neural Field Diffusion
- ICLR 2026Planned Diffusion
- ICLR 2026Planner Aware Path Learning in Diffusion Language Models Training
- ICLR 2026Plug-and-Play Fidelity Optimization for Diffusion Transformer Acceleration via Cumulative Error Minimization
- ICLR 2026Point Prompting: Counterfactual Tracking with Video Diffusion Models
- ICLR 2026PolicyFlow: Policy Optimization with Continuous Normalizing Flow in Reinforcement Learning
- ICLR 2026Polynomial Convergence of Riemannian Diffusion Models
- ICLR 2026PreciseCache: Precise Feature Caching for Efficient and High-fidelity Video Generation
- ICLR 2026Preserve and Personalize: Personalized Text-to-Image Diffusion Models without Distributional Drift
- ICLR 2026Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective
- ICLR 2026PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference
- ICLR 2026PRISM: Controllable Diffusion for Compound Image Restoration with Scientific Fidelity
- ICLR 2026PRO-MOF: Policy Optimization with Universal Atomistic Models for Controllable MOF Generation
- ICLR 2026Product-Quantised Image Representation for High-Quality Image Synthesis
- ICLR 2026Projected Coupled Diffusion for Test-Time Constrained Joint Generation
- ICLR 2026ProteinAE: Protein Diffusion Autoencoders for Structure Encoding
- ICLR 2026Provable Separations between Memorization and Generalization in Diffusion Models
- ICLR 2026Proximal Diffusion Neural Sampler
- ICLR 2026Purrception: Variational Flow Matching for Vector-Quantized Image Generation
- ICLR 2026Pusa V1.0: Unlocking Temporal Control in Pretrained Video Diffusion Models via Vectorized Timestep Adaptation
- ICLR 2026Pyramid Patchification Flow for Visual Generation
- ICLR 2026Q-Learning with Adjoint Matching
- ICLR 2026Q&C: When Quantization Meets Cache in Efficient Generation
- ICLR 2026Quantization-Aware Diffusion Models For Maximum Likelihood Training
- ICLR 2026Quartet of Diffusions: Structure-Aware Point Cloud Generation through Part and Symmetry Guidance
- ICLR 2026Quotient-Space Diffusion Model
- ICLR 2026QVGen: Pushing the Limit of Quantized Video Generative Models
- ICLR 2026Rainbow Padding: Mitigating Early Termination in Instruction-Tuned Diffusion LLMs
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