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 1,378 篇，第 18 / 28 页
- ICML 2025Flow Matching for Denoised Social Recommendation
- ICML 2025Flow Matching for Few-Trial Neural Adaptation with Stable Latent Dynamics
- ICML 2025Flow Q-Learning
- ICML 2025FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching
- ICML 2025FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields
- ICML 2025FrameBridge: Improving Image-to-Video Generation with Bridge Models
- ICML 2025From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control
- ICML 2025Gaussian Mixture Flow Matching Models
- ICML 2025GaussMarker: Robust Dual-Domain Watermark for Diffusion Models
- ICML 2025Generalized Interpolating Discrete Diffusion
- ICML 2025Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction
- ICML 2025Generative Data Mining with Longtail-Guided Diffusion
- ICML 2025Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion
- ICML 2025Generative Intervention Models for Causal Perturbation Modeling
- ICML 2025GenMol: A Drug Discovery Generalist with Discrete Diffusion
- ICML 2025Geometric Generative Modeling with Noise-Conditioned Graph Networks
- ICML 2025Geometric Representation Condition Improves Equivariant Molecule Generation
- ICML 2025GMAIL: Generative Modality Alignment for generated Image Learning
- ICML 2025Graph Diffusion for Robust Multi-Agent Coordination
- ICML 2025Habitizing Diffusion Planning for Efficient and Effective Decision Making
- ICML 2025HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration
- ICML 2025Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres
- ICML 2025Hessian Geometry of Latent Space in Generative Models
- ICML 2025Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals
- ICML 2025History-Guided Video Diffusion
- ICML 2025How Compositional Generalization and Creativity Improve as Diffusion Models are Trained
- ICML 2025How Distributed Collaboration Influences the Diffusion Model Training? A Theoretical Perspective
- ICML 2025How Far Is Video Generation from World Model: A Physical Law Perspective
- ICML 2025How to Evaluate and Mitigate IP Infringement in Visual Generative AI?
- ICML 2025How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects
- ICML 2025Human Body Restoration with One-Step Diffusion Model and A New Benchmark
- ICML 2025Hyper-Transforming Latent Diffusion Models
- ICML 2025I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models
- ICML 2025IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling
- ICML 2025Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme
- ICML 2025Improving Compositional Generation with Diffusion Models Using Lift Scores
- ICML 2025Improving Flow Matching by Aligning Flow Divergence
- ICML 2025Improving the Diffusability of Autoencoders
- ICML 2025Improving the Scaling Laws of Synthetic Data with Deliberate Practice
- ICML 2025Inductive Moment Matching
- ICML 2025Inference-Time Alignment of Diffusion Models with Direct Noise Optimization
- ICML 2025INRFlow: Flow Matching for INRs in Ambient Space
- ICML 2025Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models
- ICML 2025IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
- ICML 2025Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion
- ICML 2025Inverse Bridge Matching Distillation
- ICML 2025Inverse Flow and Consistency Models
- ICML 2025Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo
- ICML 2025IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models
- ICML 2025Is Noise Conditioning Necessary for Denoising Generative 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