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
- ICLR 2026GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs
- ICLR 2026GLASS Flows: Efficient Inference for Reward Alignment of Flow and Diffusion Models
- ICLR 2026Global and Local Topology-Aware Graph Generation via Dual Conditioning Diffusion
- ICLR 2026GlobeDiff: State Diffusion Process for Partial Observability in Multi-Agent System
- ICLR 2026GoldenStart: Q-Guided Priors and Entropy Control for Distilling Flow Policies
- ICLR 2026Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models
- ICLR 2026Graph Diffusion Transformers are In-Context Molecular Designers
- ICLR 2026Guidance Matters: Rethinking the Evaluation Pitfall for Text-to-Image Generation
- ICLR 2026Guidance Watermarking for Diffusion Models
- ICLR 2026Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning
- ICLR 2026H$^3$DP: Triply‑Hierarchical Diffusion Policy for Visuomotor Learning
- ICLR 2026Half-order Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer
- ICLR 2026Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion
- ICLR 2026HiCache: A Plug-in Scaled-Hermite Upgrade for Taylor-Style Cache-then-Forecast Diffusion Acceleration
- ICLR 2026Hierarchical Entity-centric Reinforcement Learning with Factored Subgoal Diffusion
- ICLR 2026Hierarchical Semantic-Acoustic Modeling via Semi-Discrete Residual Representations for Expressive End-to-End Speech Synthesis
- ICLR 2026Hierarchy Decoding: A Training-free Parallel Decoding Strategy for Diffusion Large Language Models
- ICLR 2026High-dimensional Mean-Field Games by Particle-based Flow Matching
- ICLR 2026HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models
- ICLR 2026HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
- ICLR 2026Horizon Imagination: Efficient On-Policy Rollout in Diffusion World Models
- ICLR 2026Hot Fuzz: Temperature-Tunable Composition of Diffusion models with Fuzzy Logic
- ICLR 2026HOTA: Hamiltonian framework for Optimal Transport Advection
- ICLR 2026Hyperspherical Latents Improve Continuous-Token Autoregressive Generation
- ICLR 2026I-DRUID: Layout to image generation via instance-disentangled representation and unpaired data
- ICLR 2026IC-Custom: Diverse Image Customization via In-Context Learning
- ICLR 2026ICDiffAD: Implicit Conditioning Diffusion Model for Time Series Anomaly Detection
- ICLR 2026iFusion: Integrating Dynamic Interest Streams via Diffusion Model for Click-Through Rate Prediction
- ICLR 2026Image Can Bring Your Memory Back: A Novel Multi-Modal Guided Attack against Image Generation Model Unlearning
- ICLR 2026Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis
- ICLR 2026Improved Adversarial Diffusion Compression for Real-World Video Super-Resolution
- ICLR 2026Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment
- ICLR 2026Improving 2D Diffusion Models for 3D Medical Imaging with Inter‑Slice Consistent Stochasticity
- ICLR 2026Improving Autoregressive Video Modeling with History Understanding
- ICLR 2026Improving Classifier-Free Guidance in Masked Diffusion: Low-Dim Theoretical Insights with High-Dim Impact
- ICLR 2026Improving Diffusion Models for Class-imbalanced Training Data via Capacity Manipulation
- ICLR 2026Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies
- ICLR 2026Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization
- ICLR 2026Incomplete Data, Complete Dynamics: A Diffusion Approach
- ICLR 2026Inference-time scaling of diffusion models through classical search
- ICLR 2026Inference-Time Scaling of Discrete Diffusion Models via Importance Weighting and Optimal Proposal Design
- ICLR 2026InfoBridge: Mutual Information estimation via Bridge Matching
- ICLR 2026Information Estimation with Discrete Diffusion
- ICLR 2026Inpainting-Guided Policy Optimization for Diffusion Large Language Models
- ICLR 2026Intention-Conditioned Flow Occupancy Models
- ICLR 2026Interaction Field Matching: Overcoming Limitations of Electrostatic Models
- ICLR 2026Interpolation-Based Conditioning of Flow Matching Models for Bioisosteric Ligand Design
- ICLR 2026Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed Individuals
- ICLR 2026Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design
- ICLR 2026JavisDiT++: Unified Modeling and Optimization for Joint Audio-Video 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