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 5 / 45 页
- NeurIPS 2026EverAnimate: Minute-Scale Human Animation via Latent Flow Restoration
- NeurIPS 2026Every Measurement, Every Direction, All at Once: Multimodal Flow Matching for Molecules and Spectra
- NeurIPS 2026Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution
- NeurIPS 2026Exact Channel Decoupling via Joint Diagonalization and Uniform Splicing for Diffusion Transformer Quantization
- NeurIPS 2026Exact Posterior Score Estimation for Solving Linear Inverse Problems
- NeurIPS 2026Example-Based Spatial Guidance for Training-Free Concept Erasure in Diffusion Models
- NeurIPS 2026Expanding Flow Maps
- NeurIPS 2026Expected Batch Optimal Transport Plans and Consequences for Flow Matching
- NeurIPS 2026Exploring Advertising Manipulation in Diffusion Image Generation
- NeurIPS 2026Exploring MLLM-Diffusion Information Transfer with MetaCanvas
- NeurIPS 2026Extracting Training Data from Diffusion Language Models via Infilling
- NeurIPS 2026ExtraVAR: Stage-Aware RoPE Remapping for Resolution Extrapolation in Visual Autoregressive Models
- NeurIPS 2026Extremely Sparse-View Computed Tomography from 2D Projections via Pose-Aware Diffusion Priors
- NeurIPS 2026F2G-Pose: Geometry-Aware Foundation Feature Lifting for Direct RGB-D Category-Level Object Pose Estimation
- NeurIPS 2026Factored Generative Models through Mechanism Diversity
- NeurIPS 2026FADE: Fractional Anomalous Dynamics Extrapolation for Training-Free Diffusion Transformers Acceleration
- NeurIPS 2026Fast Organic Crystal Structure Prediction with Unit Cell Flow Matching
- NeurIPS 2026FAST-Brain: A Flow-Aligned Spatio-Temporal Surrogate Brain Model
- NeurIPS 2026Fast-dLLM++: Fr\'{e}chet Profile Decoding for Faster Diffusion LLM Inference
- NeurIPS 2026FEAD: Fine-Grained Epipolar Attention Diffusion for Large-Disparity Light Field Spatial Super-Resolution
- NeurIPS 2026Feature Information Dynamics in Diffusion
- NeurIPS 2026Few-Step Cofolding with All-Atom Flow Maps
- NeurIPS 2026Few-Step Diffusion Language Models via Trajectory Self-Distillation
- NeurIPS 2026Fixed-Point Masked Generative Modeling
- NeurIPS 2026FLASH: Efficient Visuomotor Policy via Sparse Sampling
- NeurIPS 2026FlashControl: One-Step Controllable Generator via Distillation-Friendly Single-Stream Teachers.
- NeurIPS 2026FlashPlanner: Real-Time Goal-Conditioned Flow-Matching Planning for Autonomous Driving with Online RL Fine-Tuning
- NeurIPS 2026Flexible Flows for Biological Sequence Design
- NeurIPS 2026Flow Map Denoisers: Traversing the Distortion-Perception Plane for Inverse Problems
- NeurIPS 2026Flow Matching for Offline Reinforcement Learning with Discrete Actions
- NeurIPS 2026Flow Matching from Viewpoint of Proximal Operators
- NeurIPS 2026Flow Matching Policy Optimization with Mirror Descent and Entropy Constraints
- NeurIPS 2026Flow Matching Reinforcement Learning via SDE Inference
- NeurIPS 2026Flow Matching with In-Context Priors for Out-of-Distribution Brain Dynamics
- NeurIPS 2026Flow Mismatching: Unsupervised Anomaly Detection via Velocity Discrepancies in Flow Matching Models
- NeurIPS 2026Flow-Corrected Shape Optimization: Taming Manifold Drift in High-Dimensional 3D Models
- NeurIPS 2026Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field
- NeurIPS 2026Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models
- NeurIPS 2026Flow-Guided Target-Space Alignment via Path Consistency
- NeurIPS 2026Flow+Diff: Unifying Flow and Diffusion Representations for Multivariate Time Series Anomaly Detection
- NeurIPS 2026FlowBatt: Flow Matching for Probabilistic Battery Degradation Prediction
- NeurIPS 2026Flowette: Flow Matching with Graphette Priors for Graph Generation
- NeurIPS 2026FLUX: Geometry-Aware Longitudinal Flow Matching with Mixture of Experts
- NeurIPS 2026FluxFlow: Conservative Flow-Matching for Astronomical Image Super-Resolution
- NeurIPS 2026FluxLite: Inference-Time Proposal Control for Discrete Diffusion Models
- NeurIPS 2026FMMI: Flow Matching Mutual Information Estimation
- NeurIPS 2026Focused Forcing: Content-Aware Per-Frame KV Selection for Efficient Autoregressive Video Diffusion
- NeurIPS 2026Follow the Mean: Reference-Guided Flow Matching
- NeurIPS 2026FoMo: Forking Moment in Generative Trajectory as a Perceptual Distance
- NeurIPS 2026ForceFlow: Learning to Feel and Act via Contact-Driven Flow Matching
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