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 23 / 54 页
- ICLR 2026Q-Learning with Adjoint Matching
- ICLR 2026Q&C: When Quantization Meets Cache in Efficient Generation
- ICLR 2026Quantization-Aware Diffusion Models For Maximum Likelihood Training
- ICLR 2026Quartet of Diffusions: Structure-Aware Point Cloud Generation through Part and Symmetry Guidance
- ICLR 2026Quotient-Space Diffusion Model
- ICLR 2026QVGen: Pushing the Limit of Quantized Video Generative Models
- ICLR 2026Rainbow Padding: Mitigating Early Termination in Instruction-Tuned Diffusion LLMs
- ICLR 2026RAPID$^3$: Tri-Level Reinforced Acceleration Policies for Diffusion Transformer
- ICLR 2026ReactDance: Hierarchical Representation for High-Fidelity and Coherent Long-Form Reactive Dance Generation
- ICLR 2026ReactID: Synchronizing Realistic Actions and Identity in Personalized Video Generation
- ICLR 2026Real-Time Motion-Controllable Autoregressive Video Diffusion
- ICLR 2026Realtime Video Frame Interpolation using One-Step Diffusion Sampling
- ICLR 2026reAR: Rethinking Visual Autoregressive Models via Token-wise Consistency Regularization
- ICLR 2026Reconciling Visual Perception and Generation in Diffusion Models
- ICLR 2026Recover Cell Tensor: Diffusion-Equivalent Tensor Completion for Fluorescence Microscopy Imaging
- ICLR 2026ReDDiT: Rehashing Noise for Discrete Visual Generation
- ICLR 2026RefAny3D: 3D Asset-Referenced Diffusion Models for Image Generation
- ICLR 2026ReFocusEraser: Refocusing for Small Object Removal with Robust Context-Shadow Repair
- ICLR 2026ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding
- ICLR 2026RegionE: Adaptive Region-Aware Generation for Efficient Image Editing
- ICLR 2026Reinforcing Diffusion Models by Direct Group Preference Optimization
- ICLR 2026Relational Feature Caching for Accelerating Diffusion Transformers
- ICLR 2026Representation Alignment for Diffusion Transformers without External Components
- ICLR 2026Resp-Agent: An Agent-Based System for Multimodal Respiratory Sound Generation and Disease Diagnosis
- ICLR 2026RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration
- ICLR 2026Revisiting Global Text Conditioning in Diffusion Transformers
- ICLR 2026Revisiting Tree-Sliced Wasserstein Distance Through the Lens of the Fermat–Weber Problem
- ICLR 2026Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models
- ICLR 2026RFS: Reinforcement learning with Residual flow steering for dexterous manipulation
- ICLR 2026RIDER: 3D RNA Inverse Design with Reinforcement Learning-Guided Diffusion
- ICLR 2026Riemannian Variational Flow Matching for Material and Protein Design
- ICLR 2026RigidSSL: Rigidity-based Geometric Pretraining for Protein Generation
- ICLR 2026RMFlow: Refined Mean Flow by a Noise-Injection Step for Multimodal Generation
- ICLR 2026RNE: plug-and-play diffusion inference-time control and energy-based training
- ICLR 2026Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations
- ICLR 2026Robust Generalized Schr\"{o}dinger Bridge via Sparse Variational Gaussian Processes
- ICLR 2026Robustness of Probabilistic Models to Low-Quality Data: A Multi-Perspective Analysis
- ICLR 2026Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance
- ICLR 2026S$^2$-Guidance: Stochastic Self-Guidance for Training-Free Enhancement of Diffusion Models
- ICLR 2026S3OD: Towards Generalizable Salient Object Detection with Synthetic Data
- ICLR 2026SafeFlowMatcher: Safe and Fast Planning using Flow Matching with Control Barrier Functions
- ICLR 2026SAFETY-GUIDED FLOW (SGF): A UNIFIED FRAMEWORK FOR NEGATIVE GUIDANCE IN SAFE GENERATION
- ICLR 2026SAIL: Self-Amplified Iterative Learning for Diffusion Model Alignment with Minimal Human Feedback
- ICLR 2026Sample Reward Soups: Query-efficient Multi-Reward Guidance for Text-to-Image Diffusion Models
- ICLR 2026Sample-efficient evidence estimation of score based priors for model selection
- ICLR 2026SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer
- ICLR 2026Scalable Energy-Based Models via Adversarial Training: Unifying Discrimination and Generation
- ICLR 2026Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics
- ICLR 2026Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization
- ICLR 2026Scale-wise Distillation of 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