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 2,202 篇，第 40 / 45 页
- NeurIPS 2023DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models
- NeurIPS 2023DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model
- NeurIPS 2023DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models
- NeurIPS 2023Diffused Task-Agnostic Milestone Planner
- NeurIPS 2023Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence
- NeurIPS 2023Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks
- NeurIPS 2023Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
- NeurIPS 2023Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
- NeurIPS 2023Diffusion Probabilistic Models for Structured Node Classification
- NeurIPS 2023Diffusion Representation for Asymmetric Kernels via Magnetic Transform
- NeurIPS 2023Diffusion Schrödinger Bridge Matching
- NeurIPS 2023Diffusion Self-Guidance for Controllable Image Generation
- NeurIPS 2023Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision
- NeurIPS 2023Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
- NeurIPS 2023Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation
- NeurIPS 2023Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection
- NeurIPS 2023Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback
- NeurIPS 2023DiffUTE: Universal Text Editing Diffusion Model
- NeurIPS 2023DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
- NeurIPS 2023Direct Diffusion Bridge using Data Consistency for Inverse Problems
- NeurIPS 2023Directional diffusion models for graph representation learning
- NeurIPS 2023DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
- NeurIPS 2023DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
- NeurIPS 2023Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation
- NeurIPS 2023Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models
- NeurIPS 2023DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement
- NeurIPS 2023DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics
- NeurIPS 2023DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models
- NeurIPS 2023Dream the Impossible: Outlier Imagination with Diffusion Models
- NeurIPS 2023DreamSparse: Escaping from Plato’s Cave with 2D Diffusion Model Given Sparse Views
- NeurIPS 2023DreamWaltz: Make a Scene with Complex 3D Animatable Avatars
- NeurIPS 2023Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection
- NeurIPS 2023DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
- NeurIPS 2023Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
- NeurIPS 2023Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
- NeurIPS 2023EDGI: Equivariant Diffusion for Planning with Embodied Agents
- NeurIPS 2023Efficient Diffusion Policies For Offline Reinforcement Learning
- NeurIPS 2023Efficient Neural Music Generation
- NeurIPS 2023Efficient Training of Energy-Based Models Using Jarzynski Equality
- NeurIPS 2023Emergent Correspondence from Image Diffusion
- NeurIPS 2023End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics
- NeurIPS 2023Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
- NeurIPS 2023Energy Guided Diffusion for Generating Neurally Exciting Images
- NeurIPS 2023Energy Transformer
- NeurIPS 2023Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
- NeurIPS 2023Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
- NeurIPS 2023Enhancing Adversarial Robustness via Score-Based Optimization
- NeurIPS 2023Entropic Neural Optimal Transport via Diffusion Processes
- NeurIPS 2023Equivariant flow matching
- NeurIPS 2023Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation
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