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 6,899 篇，第 106 / 138 页
- CVPR 2024Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models
- CVPR 2024WaveFace: Authentic Face Restoration with Efficient Frequency Recovery
- CVPR 2024Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration
- CVPR 2024When StyleGAN Meets Stable Diffusion: a W+ Adapter for Personalized Image Generation
- CVPR 2024Wired Perspectives: Multi-View Wire Art Embraces Generative AI
- CVPR 2024Wonder3D: Single Image to 3D using Cross-Domain Diffusion
- CVPR 2024WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models
- CVPR 2024X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion Model
- CVPR 2024XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
- CVPR 2024Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models
- CVPR 2024Z*: Zero-shot Style Transfer via Attention Reweighting
- CVPR 2024Zero-Reference Low-Light Enhancement via Physical Quadruple Priors
- CVPR 2024Zero-Shot Structure-Preserving Diffusion Model for High Dynamic Range Tone Mapping
- CVPR 2024ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image
- ICLR 2024$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
- ICLR 2024A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality
- ICLR 2024A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models
- ICLR 2024A Variational Perspective on Solving Inverse Problems with Diffusion Models
- ICLR 2024ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
- ICLR 2024AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
- ICLR 2024Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models
- ICLR 2024Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
- ICLR 2024AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model
- ICLR 2024Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps
- ICLR 2024An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization
- ICLR 2024Analyzing and Improving Optimal-Transport-based Adversarial Networks
- ICLR 2024AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
- ICLR 2024AnyText: Multilingual Visual Text Generation and Editing
- ICLR 2024BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
- ICLR 2024Bellman Optimal Stepsize Straightening of Flow-Matching Models
- ICLR 2024Bespoke Solvers for Generative Flow Models
- ICLR 2024Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation
- ICLR 2024Bridging Neural and Symbolic Representations with Transitional Dictionary Learning
- ICLR 2024CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling
- ICLR 2024Cameras as Rays: Pose Estimation via Ray Diffusion
- ICLR 2024CAS: A Probability-Based Approach for Universal Condition Alignment Score
- ICLR 2024CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis
- ICLR 2024Circumventing Concept Erasure Methods For Text-To-Image Generative Models
- ICLR 2024Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities
- ICLR 2024Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
- ICLR 2024Compositional Generative Inverse Design
- ICLR 2024Concept Bottleneck Generative Models
- ICLR 2024Conditional Variational Diffusion Models
- ICLR 2024Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning
- ICLR 2024Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
- ICLR 2024Consistent Video-to-Video Transfer Using Synthetic Dataset
- ICLR 2024Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video
- ICLR 2024Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach
- ICLR 2024ControlVideo: Training-free Controllable Text-to-video Generation
- ICLR 2024Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing
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