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 1,471 篇，第 18 / 30 页
- ICML 2024Hyperbolic Geometric Latent Diffusion Model for Graph Generation
- ICML 2024Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge
- ICML 2024Imitation Learning from Purified Demonstrations
- ICML 2024Improving Adversarial Energy-Based Model via Diffusion Process
- ICML 2024Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
- ICML 2024Interacting Diffusion Processes for Event Sequence Forecasting
- ICML 2024Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation
- ICML 2024Interpreting and Improving Diffusion Models from an Optimization Perspective
- ICML 2024Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
- ICML 2024Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
- ICML 2024Iterative Search Attribution for Deep Neural Networks
- ICML 2024Learning a Diffusion Model Policy from Rewards via Q-Score Matching
- ICML 2024Learning Divergence Fields for Shift-Robust Graph Representations
- ICML 2024Learning Iterative Reasoning through Energy Diffusion
- ICML 2024Learning Latent Space Hierarchical EBM Diffusion Models
- ICML 2024Learning to Reach Goals via Diffusion
- ICML 2024Light and Optimal Schrödinger Bridge Matching
- ICML 2024Listening to the noise: Blind Denoising with Gibbs Diffusion
- ICML 2024MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
- ICML 2024Make-A-Shape: a Ten-Million-scale 3D Shape Model
- ICML 2024Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
- ICML 2024Mean-field Chaos Diffusion Models
- ICML 2024Membership Inference Attacks on Diffusion Models via Quantile Regression
- ICML 2024Mimicking Better by Matching the Approximate Action Distribution
- ICML 2024Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions
- ICML 2024MoMo: Momentum Models for Adaptive Learning Rates
- ICML 2024MS$^3$D: A RG Flow-Based Regularization for GAN Training with Limited Data
- ICML 2024MusicFlow: Cascaded Flow Matching for Text Guided Music Generation
- ICML 2024NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
- ICML 2024Nearest Neighbour Score Estimators for Diffusion Generative Models
- ICML 2024Neural Diffusion Models
- ICML 2024Neural Jump-Diffusion Temporal Point Processes
- ICML 2024Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
- ICML 2024Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
- ICML 2024Non-confusing Generation of Customized Concepts in Diffusion Models
- ICML 2024On Discrete Prompt Optimization for Diffusion Models
- ICML 2024On the Trajectory Regularity of ODE-based Diffusion Sampling
- ICML 2024Online bipartite matching with imperfect advice
- ICML 2024Particle Denoising Diffusion Sampler
- ICML 2024PID: Prompt-Independent Data Protection Against Latent Diffusion Models
- ICML 2024Plug-and-Play image restoration with Stochastic deNOising REgularization
- ICML 2024Position: Compositional Generative Modeling: A Single Model is Not All You Need
- ICML 2024Potential Based Diffusion Motion Planning
- ICML 2024PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching
- ICML 2024Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model
- ICML 2024Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines
- ICML 2024Prompt-guided Precise Audio Editing with Diffusion Models
- ICML 2024Prompt-tuning Latent Diffusion Models for Inverse Problems
- ICML 2024Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
- ICML 2024Protein Conformation Generation via Force-Guided SE(3) Diffusion Models
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