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 38 / 54 页
- ICML 2026scChord: A Probabilistic Manifold Rectification Framework for RNA-to-Protein Translation
- ICML 2026ScDiVa: Masked Discrete Diffusion for Joint Modeling of Single-Cell Identity and Expression
- ICML 2026SceneDirector: Bridging Explicit Geometry and Generative Priors for Unified Driving Scene Editing
- ICML 2026SCNS: Continual Personalization of Diffusion Models via Submodular Concept Neuron Selection
- ICML 2026Score Based Error Correcting Code Decoder
- ICML 2026Score Correction for Generative Models with Probabilistic Constraints
- ICML 2026ScoreMatchingRiesz: Score Matching for Debiased Machine Learning and Policy Path Estimation
- ICML 2026ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves Recognition
- ICML 2026SDiD：Shared diffusion prior for efficient distributed stereo image compression
- ICML 2026SE(3)-Equivariant Flow Matching with Gaussian Process Priors for Geometric Trajectory Prediction
- ICML 2026SE(n)-Invariant Flow Matching: A General Framework with Application to Object Reassembly
- ICML 2026Search or Accelerate: Confidence-Switched Position Beam Search for Diffusion Language Models
- ICML 2026SeisMark: A Large-Scale Open Benchmark for Robust 3D Seismic Fault Detection
- ICML 2026Self-Augmenting Retrieval for Diffusion Language Models
- ICML 2026Self-Prompting Diffusion Transformer for Open-Vocabulary Scene Text Edit via In-Context Learning
- ICML 2026Self-Refining Video Sampling
- ICML 2026Self-Supervised Flow Matching for Scalable Multi-Modal Synthesis
- ICML 2026Semantic Editing with Coupled Stochastic Differential Equations
- ICML 2026Semantic-level Backdoor Attack against Text-to-Image Diffusion Models
- ICML 2026SemanticNVS: Improving Semantic Scene Understanding in Generative Novel View Synthesis
- ICML 2026SemBind: Binding Diffusion Watermarks to Semantics Against Black-Box Forgery Attacks
- ICML 2026Set Diffusion: Interpolating Token Orderings between Autoregression and Diffusion for Fast and Flexible Decoding
- ICML 2026Set-Coupled Guidance: Set-Level Coordination in Diffusion-Based Dataset Distillation
- ICML 2026SGMD: Score Gradient Matching Distillation for Few-Step Video Diffusion Distillation
- ICML 2026Shifting the Breaking Point of Flow Matching for Multi-Instance Editing
- ICML 2026SimGFM: Simplifying Discrete Flow Matching for Graph Generation
- ICML 2026Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures
- ICML 2026Simple Denoising Diffusion Language Models
- ICML 2026Singular Proxies for Adaptive Caching in Diffusion Language Models
- ICML 2026Sinkhorn Normalization of Diffusion Kernels
- ICML 2026SIPO: Stabilized and Improved Preference Optimization for Aligning Diffusion Models
- ICML 2026Skipping the Zeros in Diffusion Models for Sparse Data Generation
- ICML 2026SlerpFlow: Spherical Trajectory Correction for Rectified Flow Inversion
- ICML 2026SMD: Multi-view Safety-Critical Driving Video Generation in the Real-world Domain
- ICML 2026Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation
- ICML 2026Sobolev Regularized Score Difference Estimation in Diffusion Models
- ICML 2026SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering
- ICML 2026Sparse ActionGen: Accelerating Diffusion Policy with Real-time Pruning
- ICML 2026Sparse Relaxed-Lasso Steering: Automatic Sparse Autoencoder Feature Selection for Precise Image Editing
- ICML 2026SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes
- ICML 2026Spatiotemporal Imputation with Graph-Informed Flow Matching
- ICML 2026Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image Generation
- ICML 2026Spectral Flow Matching: Stabilizing Stochastic GFlowNets via Frequency-Domain Regularization
- ICML 2026Spectral Guidance for Flexible and Efficient Control of Diffusion Models
- ICML 2026Spectrally-Guided Diffusion Noise Schedules
- ICML 2026SPEED: Sharpened-Teacher Distillation for Parallel Decoding of Diffusion Language Models
- ICML 2026SpeedVFI: One-step Diffusion for Efficient Video Frame Interpolation
- ICML 2026Spiral RoPE: Rotate Your Rotary Positional Embeddings in the 2D Plane
- ICML 2026SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models
- ICML 2026ST-Veto: Spatio-Temporal Token Veto for Diffusion MLLMs via Taylor Prediction and Visual Grounding
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