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 346 篇，第 7 / 7 页
- ICML 2025Supercharging Graph Transformers with Advective Diffusion
- ICML 2025Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion
- ICML 2025TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data
- ICML 2025Taming Diffusion for Dataset Distillation with High Representativeness
- ICML 2025Taming Rectified Flow for Inversion and Editing
- ICML 2025Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
- ICML 2025Targeted Unlearning with Single Layer Unlearning Gradient
- ICML 2025Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner
- ICML 2025TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness
- ICML 2025TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching
- ICML 2025Temporal Difference Flows
- ICML 2025Test-Time Canonicalization by Foundation Models for Robust Perception
- ICML 2025The Diffusion Duality
- ICML 2025The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction
- ICML 2025Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos
- ICML 2025TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
- ICML 2025TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision
- ICML 2025ToMA: Token Merge with Attention for Diffusion Models
- ICML 2025Towards a Mechanistic Explanation of Diffusion Model Generalization
- ICML 2025Towards Black-Box Membership Inference Attack for Diffusion Models
- ICML 2025Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions
- ICML 2025Training Diffusion-based Generative Models with Limited Data
- ICML 2025TruthFlow: Truthful LLM Generation via Representation Flow Correction
- ICML 2025Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion
- ICML 2025Ultra-Resolution Adaptation with Ease
- ICML 2025Understanding and Mitigating Memorization in Diffusion Models for Tabular Data
- ICML 2025Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes
- ICML 2025UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control
- ICML 2025UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation
- ICML 2025UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design
- ICML 2025Unsupervised Learning for Class Distribution Mismatch
- ICML 2025Upcycling Text-to-Image Diffusion Models for Multi-Task Capabilities
- ICML 2025Variance as a Catalyst: Efficient and Transferable Semantic Erasure Adversarial Attack for Customized Diffusion Models
- ICML 2025Variational Control for Guidance in Diffusion Models
- ICML 2025Variational Rectified Flow Matching
- ICML 2025VCT: Training Consistency Models with Variational Noise Coupling
- ICML 2025VerbalTS: Generating Time Series from Texts
- ICML 2025Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations
- ICML 2025VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
- ICML 2025Wasserstein Flow Matching: Generative Modeling Over Families of Distributions
- ICML 2025When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets
- ICML 2025When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class
- ICML 2025WMAdapter: Adding WaterMark Control to Latent Diffusion Models
- ICML 2025WyckoffDiff -- A Generative Diffusion Model for Crystal Symmetry
- ICML 2025Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models
- ICML 2025Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints
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