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 2,078 篇，第 22 / 42 页
- ICML 2025AffinityFlow: Guided Flows for Antibody Affinity Maturation
- ICML 2025Aligning Protein Conformation Ensemble Generation with Physical Feedback
- ICML 2025All-atom Diffusion Transformers: Unified generative modelling of molecules and materials
- ICML 2025All-atom inverse protein folding through discrete flow matching
- ICML 2025An All-Atom Generative Model for Designing Protein Complexes
- ICML 2025An analytic theory of creativity in convolutional diffusion models
- ICML 2025An Error Analysis of Flow Matching for Deep Generative Modeling
- ICML 2025Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation
- ICML 2025Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions
- ICML 2025Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation
- ICML 2025ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior
- ICML 2025AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration
- ICML 2025Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
- ICML 2025Better to Teach than to Give: Domain Generalized Semantic Segmentation via Agent Queries with Diffusion Model Guidance
- ICML 2025Beyond One-Hot Labels: Semantic Mixing for Model Calibration
- ICML 2025BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution
- ICML 2025BinauralFlow: A Causal and Streamable Approach for High-Quality Binaural Speech Synthesis with Flow Matching Models
- ICML 2025Blink of an eye: a simple theory for feature localization in generative models
- ICML 2025BOOD: Boundary-based Out-Of-Distribution Data Generation
- ICML 2025Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation
- ICML 2025Bridging Protein Sequences and Microscopy Images with Unified Diffusion Models
- ICML 2025Broadband Ground Motion Synthesis by Diffusion Model with Minimal Condition
- ICML 2025Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing
- ICML 2025Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?
- ICML 2025CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models
- ICML 2025CellFlux: Simulating Cellular Morphology Changes via Flow Matching
- ICML 2025CFP-Gen: Combinatorial Functional Protein Generation via Diffusion Language Models
- ICML 2025CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation
- ICML 2025Chip Placement with Diffusion Models
- ICML 2025Clustering via Self-Supervised Diffusion
- ICML 2025Competing Bandits in Matching Markets via Super Stability
- ICML 2025Compositional Flows for 3D Molecule and Synthesis Pathway Co-design
- ICML 2025Compositional Scene Understanding through Inverse Generative Modeling
- ICML 2025Compressed Image Generation with Denoising Diffusion Codebook Models
- ICML 2025Concept Reachability in Diffusion Models: Beyond Dataset Constraints
- ICML 2025ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features
- ICML 2025Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting
- ICML 2025Conditioning Diffusions Using Malliavin Calculus
- ICML 2025Continuous Semi-Implicit Models
- ICML 2025Control and Realism: Best of Both Worlds in Layout-to-Image without Training
- ICML 2025Controllable Data Generation with Hierarchical Neural Representations
- ICML 2025Controlled Generation with Equivariant Variational Flow Matching
- ICML 2025Convergence of Consistency Model with Multistep Sampling under General Data Assumptions
- ICML 2025CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning
- ICML 2025D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples
- ICML 2025David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training
- ICML 2025DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space
- ICML 2025De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks
- ICML 2025DeFoG: Discrete Flow Matching for Graph Generation
- ICML 2025Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation
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