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 7 / 14 页
- NeurIPS 2025In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain
- NeurIPS 2025In-Context Learning of Stochastic Differential Equations with Foundation Inference Models
- NeurIPS 2025Increasing the Utility of Synthetic Images through Chamfer Guidance
- NeurIPS 2025Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing
- NeurIPS 2025Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search
- NeurIPS 2025Information Theoretic Learning for Diffusion Models with Warm Start
- NeurIPS 2025Information-Theoretic Discrete Diffusion
- NeurIPS 2025Informed Correctors for Discrete Diffusion Models
- NeurIPS 2025Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes
- NeurIPS 2025InstanceAssemble: Layout-Aware Image Generation via Instance Assembling Attention
- NeurIPS 2025IntrinsiX: High-Quality PBR Generation using Image Priors
- NeurIPS 2025InvFusion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems
- NeurIPS 2025Is Artificial Intelligence Generated Image Detection a Solved Problem?
- NeurIPS 2025Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
- NeurIPS 2025Is Your Diffusion Model Actually Denoising?
- NeurIPS 2025ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
- NeurIPS 2025Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation
- NeurIPS 2025Joint Design of Protein Surface and Backbone Using a Diffusion Bridge Model
- NeurIPS 2025Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance
- NeurIPS 2025Joint Relational Database Generation via Graph-Conditional Diffusion Models
- NeurIPS 2025Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling
- NeurIPS 2025Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration
- NeurIPS 2025Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning
- NeurIPS 2025KLASS: KL-Guided Fast Inference in Masked Diffusion Models
- NeurIPS 2025Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better
- NeurIPS 2025Kuramoto Orientation Diffusion Models
- NeurIPS 2025LABridge: Text–Image Latent Alignment Framework via Mean-Conditioned OU Process
- NeurIPS 2025LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
- NeurIPS 2025Large Language Diffusion Models
- NeurIPS 2025Last-Iterate Convergence of Smooth Regret Matching$^+$ Variants in Learning Nash Equilibria
- NeurIPS 2025Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving
- NeurIPS 2025Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
- NeurIPS 2025LaViDa: A Large Diffusion Model for Vision-Language Understanding
- NeurIPS 2025LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching
- NeurIPS 2025Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning
- NeurIPS 2025Learnable Sampler Distillation for Discrete Diffusion Models
- NeurIPS 2025Learning 3D Persistent Embodied World Models
- NeurIPS 2025Learning conformational ensembles of proteins based on backbone geometry
- NeurIPS 2025Learning Diffusion Models with Flexible Representation Guidance
- NeurIPS 2025Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks
- NeurIPS 2025Learning non-equilibrium diffusions with Schrödinger bridges: from exactly solvable to simulation-free
- NeurIPS 2025Learning normalized image densities via dual score matching
- NeurIPS 2025Learning to Generate Human-Human-Object Interactions from Textual Descriptions
- NeurIPS 2025Learning to Integrate Diffusion ODEs by Averaging the Derivatives
- NeurIPS 2025Learning World Models for Interactive Video Generation
- NeurIPS 2025LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding
- NeurIPS 2025Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators
- NeurIPS 2025LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders
- NeurIPS 2025Linearly Constrained Diffusion Implicit Models
- NeurIPS 2025Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction
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