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 42 / 54 页
- NeurIPS 2026AdaState: Self-Evolving Anchors for Streaming Video Generation
- NeurIPS 2026Advanced Routing as Regularization Allocation for Efficient Diffusion Transformer Training
- NeurIPS 2026AegisFlow: Training-free Non-myopic Path-safe Guided Flow Matching
- NeurIPS 2026AHPA: Adaptive Hierarchical Prior Alignment for Diffusion Transformers
- NeurIPS 2026ALAM: Algebraically Consistent Latent Transitions for Vision-Language-Action Models
- NeurIPS 2026Align $\&$ Invert: Solving Inverse Problems with Diffusion and Flow-based Models via Representation Alignment
- NeurIPS 2026Align as You Couple: Learning Spatial Resolved Inference from H&E Images with Mollified Flow Matching
- NeurIPS 2026Aligning Flow Map Policies with Optimal $Q$-Guidance
- NeurIPS 2026All Roads Lead to Rome: Flow-driven Multi-Anchor Exploration for Open-Environment Active 3D Mapping
- NeurIPS 2026All-Addition Spiking Diffusion Models with Attention Enhancement
- NeurIPS 2026Amortized Guidance for Image Inpainting with Pretrained Diffusion Models
- NeurIPS 2026Amortized Optimal Transport from Sliced Potentials
- NeurIPS 2026An exact information theory of generalization phase transitions in Bayesian diffusion models
- NeurIPS 2026AnaDiffusion: Anatomically Compositional Latent Diffusion for Controllable 3D Brain MRI Generation
- NeurIPS 2026Analyzing Learning-Dynamics Across Loss and Prediction Choices for Diffusion Models
- NeurIPS 2026Anchored Protein Engineering
- NeurIPS 2026Anchoring LLM-based Chest X-ray Report Generation via Diffusion Language Planning
- NeurIPS 2026ANCRe: Adaptive Neural Connection Reassignment for Efficient Depth Scaling
- NeurIPS 2026Antibody Generation via Redistributed Latent Diffusion
- NeurIPS 2026AR-Edit: Training-Free Streaming Video Editing without Inversion
- NeurIPS 2026Arbitrarily Conditioned Hierarchical Flows for Spatiotemporal Events
- NeurIPS 2026Are we really tilting? The mechanics of reward guidance in flow and diffusion models
- NeurIPS 2026ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Scheduling
- NeurIPS 2026AsymHP: Load-Balanced Sparse Attention for Video Diffusion Transformers
- NeurIPS 2026AtlasVid: Efficient Ultra-High-Resolution Long Video Generation via Decoupled Global-Local Modeling
- NeurIPS 2026Attend Locally, Remember Linearly: Linear Attention as Cross-Frame Memory for Autoregressive Video Diffusion
- NeurIPS 2026Attention-Based Sampler for Diffusion Language Models
- NeurIPS 2026Attention-Discounted Adaptive Sampler for Masked Diffusion Language Models
- NeurIPS 2026AudioCALM: Continuous Autoregressive Language Modeling for Universal Audio Generation
- NeurIPS 2026B[FM]$^2$: Brain Foundation Model via Flow Matching with SplitUNet
- NeurIPS 2026Baton: Explicit Semantic Blueprints for Joint Video-Audio Generation
- NeurIPS 2026Beckmann Transport Models: From Autonomous Flows to One-Step Maps
- NeurIPS 2026Bernini: Latent Semantic Planning for Video Diffusion
- NeurIPS 2026Bernoulli Flow Models: Self-Consistent Generative Modeling for Binary Data
- NeurIPS 2026Best-of-$N$ Guidance for Test-time Diffusion Alignment
- NeurIPS 2026Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching
- NeurIPS 2026Beyond Distribution Matching: Self-Supervised Representation Forcing for Few-Step Video Generation
- NeurIPS 2026Beyond Generation: Unlocking Discriminative Representations from Diffusion Models
- NeurIPS 2026Beyond Local Neighborhoods: Fractional Diffusion with Levy Flights on Simplicial Complexes for Link Prediction
- NeurIPS 2026Beyond MMSE: Enhancing PnP Restoration with ProxiMAP
- NeurIPS 2026Beyond Node Sequences: Relational Diffusion for Unified Graph Learning
- NeurIPS 2026Beyond Single-Shot Conditioning: Test-Time Condition Refinement for Diffusion-Based Image Restoration
- NeurIPS 2026Beyond ViT Tokens: Masked-Diffusion Pretrained Convolutional Pathology Foundation Model for Cell-Level Dense Prediction
- NeurIPS 2026Bidirectional Sparse Attention for Faster Video Diffusion Training
- NeurIPS 2026BigCell: Generating Gigapixel Whole-Slide Images
- NeurIPS 2026BiLoCo: Binary Low-Rank Corrections for LLM FP4 Decode
- NeurIPS 2026BiMoGen: Bidirectional Motion-Text Generation via Unified Masked Discrete Diffusion
- NeurIPS 2026Blocked Gibbs meets Diffusion Transformers: Unsupervised Learning for Constraint Optimization
- NeurIPS 2026Bonobo: Efficient Library-Scale Generation for De Novo Antibody Design
- NeurIPS 2026Boosting Text-to-Image Diffusion Models via Core Token Attention-Based Seed Selection
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