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 2,690 篇，第 24 / 54 页
- ICLR 2026Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute
- ICLR 2026Scaling Bayesian Experimental Design to High-Dimensions with Information-Guided Diffusion
- ICLR 2026Scaling Behavior of Discrete Diffusion Language Models
- ICLR 2026Scaling Group Inference for Diverse and High-Quality Generation
- ICLR 2026Scaling Laws for Diffusion Transformers
- ICLR 2026Scaling Speech Tokenizers with Diffusion Autoencoders
- ICLR 2026ScalingCache: Extreme Acceleration of DiTs through Difference Scaling and Dynamic Interval Caching
- ICLR 2026scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction
- ICLR 2026SCOPED: Score–Curvature Out-of-distribution Proximity Evaluator for Diffusion
- ICLR 2026Score Distillation Beyond Acceleration: Generative Modeling from Corrupted Data
- ICLR 2026Score-Based Density Estimation from Pairwise Comparisons
- ICLR 2026SDErasure: Concept-Specific Trajectory Shifting for Concept Erasure via Adaptive Diffusion Classifier
- ICLR 2026SE-Diff: Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation
- ICLR 2026Secure Inference for Diffusion Models via Unconditional Scores
- ICLR 2026SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
- ICLR 2026Self-Forcing++: Towards Minute-Scale High-Quality Video Generation
- ICLR 2026Self-Speculative Decoding Accelerates Lossless Inference in Any-Order and Any-Subset Autoregressive Models
- ICLR 2026Self-Speculative Masked Diffusions
- ICLR 2026Semantic-Aware Diffusion LLM Inference With Adaptive Block Size
- ICLR 2026SenseFlow: Scaling Distribution Matching for Flow-based Text-to-Image Distillation
- ICLR 2026SERUM: Simple, Efficient, Robust, and Unifying Marking for Diffusion-based Image Generation
- ICLR 2026Setting up for failure: automatic discovery of the neural mechanisms of cognitive errors
- ICLR 2026SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples
- ICLR 2026Shift-Tolerant Allocation via Black-Litterman Using Conditional Diffusion Estimates
- ICLR 2026Shortcut Diffusion Training with Cumulative Consistency Loss: An Optimal Control View
- ICLR 2026Shrinking Proteins with Diffusion
- ICLR 2026SigmaDock: Untwisting Molecular Docking with Fragment-Based SE(3) Diffusion
- ICLR 2026SIGMark: Scalable In-Generation Watermark with Blind Extraction for Video Diffusion
- ICLR 2026SimpleFold: Folding Proteins is Simpler than You Think
- ICLR 2026SketchEvo: Leveraging Drawing Dynamics for Enhanced Image Synthesis
- ICLR 2026SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention
- ICLR 2026SoFlow: Solution Flow Models for One-Step Generative Modeling
- ICLR 2026Soft-Di[M]O: Improved one-step Image Discrete Model
- ICLR 2026Soft-Masked Diffusion Language Models
- ICLR 2026Source-Guided Flow Matching
- ICLR 2026SparseD: Sparse Attention for Diffusion Language Models
- ICLR 2026SpeechOp: Inference-Time Task Composition for Generative Speech Processing
- ICLR 2026SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models
- ICLR 2026SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models
- ICLR 2026Spherical Watermark: Encryption-Free, Lossless Watermarking for Diffusion Models
- ICLR 2026SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion
- ICLR 2026SPRINT: Sparse-Dense Residual Fusion for Efficient Diffusion Transformers
- ICLR 2026Stable Video Infinity: Infinite-Length Video Generation with Error Recycling
- ICLR 2026Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models
- ICLR 2026STEDiff: Revealing the Spatial and Temporal Redundancy of Backdoor Attacks in Text-to-Image Diffusion Models
- ICLR 2026Steering Diffusion Models Towards Credible Content Recommendation
- ICLR 2026SteinsGate: Adding Causality to Diffusions for Long Video Generation via Path Integral
- ICLR 2026Step-Aware Residual-Guided Diffusion for EEG Spatial Super-Resolution
- ICLR 2026Stopping Computation for Converged Tokens in Masked Diffusion-LM Decoding
- ICLR 2026STORK: Faster Diffusion and Flow Matching Sampling by Resolving both Stiffness and Structure-Dependence
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