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 8 / 28 页
- ICML 2026LieWarper: Geometry-Aware Motion Transfer via Lie Algebra
- ICML 2026Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention
- ICML 2026Light Up Your Face: A Physically Consistent Dataset and Diffusion Model for Face Fill-Light Enhancement
- ICML 2026LightningRL: Breaking the Accuracy–Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning
- ICML 2026Likelihood Matching for Diffusion Models
- ICML 2026LineageFlow: Flow Matching for High-Fidelity Family-Aware Protein Sequence Generation
- ICML 2026Listening Through the Noise: Cauchy-Driven Diffusion Bridges for Robust Gastrointestinal Auscultation and Clinical Benchmarking
- ICML 2026LiteVSR: Lightweight Adaptation of Frozen Diffusion Transformers for Video Super-Resolution
- ICML 2026LithoGRPO: Fast Inverse Lithography via GRPO Reinforced Flow Matching
- ICML 2026Local Hessian Spectral Filtering for Robust Intrinsic Dimension Estimation
- ICML 2026Local MAP Sampling for Diffusion Models
- ICML 2026Local Mechanisms of Compositional Generalization in Conditional Diffusion
- ICML 2026Localizing Memorized Regions in Diffusion Models via Coordinate-Wise Curvature Differences
- ICML 2026Locally Coherent Parallel Decoding in Diffusion Language Models
- ICML 2026Logical Guidance for the Exact Composition of Diffusion Models
- ICML 2026Lookahead Path Likelihood Optimization for Diffusion LLMs
- ICML 2026Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models
- ICML 2026Lookahead Unmasking Elicits Reliable Decoding in Diffusion Language Models
- ICML 2026LoPhyDA: Low-Rank Tensor and Physics Gradient Guided Diffusion for Atmospheric Data Assimilation
- ICML 2026LoRe: Adaptive Interaction-Evaluation Routing with Per-step Interaction Budgets for Iterative Graph Solvers
- ICML 2026LoSA: Locality Aware Sparse Attention in Diffusion Language Models
- ICML 2026LSGQuant: Layer-Sensitivity Guided Quantization for One-Step Diffusion Real-World Video Super-Resolution
- ICML 2026LUGS: Latent-aware Guidance for Efficient Unmasking in Diffusion Large Language Models
- ICML 2026LUVE : Latent-Cascaded Ultra-High-Resolution Video Generation with Dual Frequency Experts
- ICML 2026M-Star: Markovian Projection of Star-Shaped Diffusion for Exponential Family Distributions
- ICML 2026MacroGuide: Topological Guidance for Macrocycle Generation
- ICML 2026MAD: Manifold Attracted Diffusion
- ICML 2026MaMi-HOI: Harmonizing Global Kinematics and Local Geometry for Human-Object Interaction Generation
- ICML 2026Manifold-Aware Perturbations for Constrained Generative Modeling
- ICML 2026Manifold-Optimal Guidance: A Unified Riemannian Control View of Diffusion Guidance
- ICML 2026Marrying Generative Model of Healthcare Events with Digital Twin of Social Determinants of Health for Disease Reasoning
- ICML 2026Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models
- ICML 2026MAST: Motif-Augmented Diffusion with Search Tree for Spectroscopic Molecular Structure Elucidation
- ICML 2026Mean Flow Distillation: Robust and Stable Distillation for Flow Matching Models
- ICML 2026Mean Flow Policy Optimization
- ICML 2026Measurement-Consistent Langevin Corrector for Stabilizing Latent Diffusion Inverse Problem Solvers
- ICML 2026MEDUSA: Motion Elimination in Diffusion Using Spectral Attack
- ICML 2026Meta Flow Maps enable scalable reward alignment
- ICML 2026MidSteer: Optimal Affine Framework for Steering Generative Models
- ICML 2026Mind-Omni: A Unified Multi-Task Framework for Brain-Vision-Language Modeling via Discrete Diffusion
- ICML 2026Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching
- ICML 2026MIRO: MultI-Reward cOnditioned pretraining improves T2I quality and efficiency
- ICML 2026MIST: Moment-Aligned Invariant Stability Transform for Robust Flow Matching
- ICML 2026Mitigating Mask Prior Drift and Positional Attention Collapse in Large Diffusion Vision-Language Models
- ICML 2026Mitigating Noise-Induced Layout Priors for Object Counting in Diffusion Models
- ICML 2026Mitigating Surgical Data Imbalance with Dual-Prediction Video Diffusion Model
- ICML 2026Mitigating the Contractivity Trap in Diffusion ODEs via Stein Stabilization
- ICML 2026Mixture of Distributions Matters: Dynamic Sparse Attention for Efficient Video Diffusion Transformers
- ICML 2026Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection
- ICML 2026MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance
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