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 6,899 篇，第 15 / 138 页
- ICLR 2026Concept-based Adversarial Attack: a Probabilistic Perspective
- ICLR 2026Concept-TRAK: Understanding how diffusion models learn concepts through concept attribution
- ICLR 2026Condition Errors Refinement in Autoregressive Image Generation with Diffusion Loss
- ICLR 2026Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting
- ICLR 2026Conjuring Semantic Similarity
- ICLR 2026Consis-GCPO: Consistency-Preserving Group Causal Preference Optimization for Vision Customization
- ICLR 2026Consistency Geodesic Bridge: Image Restoration with Pretrained Diffusion Models
- ICLR 2026Consistent Noisy Latent Rewards for Trajectory Preference Optimization in Diffusion Models
- ICLR 2026Consolidating Reinforcement Learning for Multimodal Discrete Diffusion Models
- ICLR 2026Constrained Decoding of Diffusion LLMs with Context-Free Grammars
- ICLR 2026Constrained Diffusion for Protein Design with Hard Structural Constraints
- ICLR 2026Context Tokens are Anchors: Understanding the Repetition Curse in Diffusion MLLMs from an Information Flow Perspective
- ICLR 2026ContextBench: Modifying Contexts for Targeted Latent Activation and Behaviour Elicitation
- ICLR 2026ContextGen: Contextual Layout Anchoring for Identity-Consistent Multi-Instance Generation
- ICLR 2026Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective
- ICLR 2026Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling
- ICLR 2026Contractive Diffusion Policies: Robust Action Diffusion via Contractive Score-Based Sampling with Differential Equations
- ICLR 2026Contrastive Diffusion Guidance for Spatial Inverse Problems
- ICLR 2026Controllable diffusion-based generation for multi-channel biological data
- ICLR 2026Controllable First-Frame-Guided Video Editing via Mask-Aware LoRA Fine-Tuning
- ICLR 2026Convergence Dynamics of Over-Parameterized Score Matching for a Single Gaussian
- ICLR 2026CORDS - Continuous Representations of Discrete Structures
- ICLR 2026Count Bridges enable Modeling and Deconvolving Transcriptomic Data
- ICLR 2026CreatiDesign: A Unified Multi-Conditional Diffusion Transformer for Creative Graphic Design
- ICLR 2026CREPE: Controlling diffusion with REPlica Exchange
- ICLR 2026CRONOS: Continuous time reconstruction for 4D medical longitudinal series
- ICLR 2026Cross-ControlNet: Training-Free Fusion of Multiple Conditions for Text-to-Image Generation
- ICLR 2026Cross-Timestep: 3D Diffusion Model with Trans-temporal Memory LSTM and Adaptive Priori Decoding Strategy for Medical Segmentation
- ICLR 2026CryoNet.Refine: A One-step Diffusion Model for Rapid Refinement of Structural Models with Cryo-EM Density Map Restraints
- ICLR 2026CTRL&SHIFT: High-quality Geometry-Aware Object Manipulation in Visual Generation
- ICLR 2026Culture in Action: Evaluating Text-to-Image Models through Social Activities
- ICLR 2026D-AR: Diffusion via Autoregressive Models
- ICLR 2026d$^2$Cache: Accelerating Diffusion-Based LLMs via Dual Adaptive Caching
- ICLR 2026Data-to-Energy Stochastic Dynamics
- ICLR 2026Dataset Distillation as Pushforward Optimal Quantization
- ICLR 2026Decision Pre-Trained Transformer is a Scalable In-Context Reinforcement Learner
- ICLR 2026Declarative Audio Editing with Audio Language Model
- ICLR 2026Deconstructing Guidance: A Semantic Hierarchy for Precise Diffusion Model Editing
- ICLR 2026Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield
- ICLR 2026Decoupled MeanFlow: Turning Flow Models into Flow Maps for Accelerated Sampling
- ICLR 2026DeepWeightFlow: Re-Basined Flow Matching for Generating Neural Network Weights
- ICLR 2026Deforming Videos to Masks: Flow Matching for Referring Video Segmentation
- ICLR 2026Delay Flow Matching
- ICLR 2026Demystifying Robot Diffusion Policies: Action Memorization and a Simple Lookup Table Alternative
- ICLR 2026DenseGRPO: From Sparse to Dense Reward for Flow Matching Model Alignment
- ICLR 2026DeRaDiff: Denoising Time Realignment of Diffusion Models
- ICLR 2026Detecting and Mitigating Memorization in Diffusion Models through Anisotropy of the Log-Probability
- ICLR 2026Detective SAM: Adaptive AI-Image Forgery Localization
- ICLR 2026Diagnosing and Improving Diffusion Models by Estimating Optimal Loss Value
- ICLR 2026DiCache: Let Diffusion Model Determine Its Own Cache
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