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 43 / 54 页
- NeurIPS 2026Branching Flows: Discrete, Continuous, and Manifold Flow Matching with Splits and Deletions
- NeurIPS 2026Breaking the Uniformity Trap: Scaling Video Diffusion Model via SplitMoE
- NeurIPS 2026Bridge Graphical Models: Coupling, Projection, and Current-Preserving Dynamics for Generative Modeling
- NeurIPS 2026Bridging Diffusion and Autoregression for Flexible Time Series Synthesis
- NeurIPS 2026BuresTomFlow: Bures-Geometric Flow Matching for Posterior Quantum Tomography
- NeurIPS 2026Cache the Future: Training-Free Self-Revision for Diffusion Transformer Acceleration
- NeurIPS 2026Calibrating Generative Models to Feature Distributions with MMD Finetuning
- NeurIPS 2026Causal Discovery Under Hard Selection Bias: A New Robust Score-Matching Approach
- NeurIPS 2026Chain-of-Generation: Progressive Latent Diffusion for Text-Guided Molecular Design
- NeurIPS 2026Chance-constrained Flow Matching for High-Fidelity Constraint-aware Generation
- NeurIPS 2026Characterizing Memorization in Diffusion Language Models: Generalized Extraction and Sampling Effects
- NeurIPS 2026CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation
- NeurIPS 2026Co-Evolving Interpolants and Flows via Path-Flow Alignment
- NeurIPS 2026Co-GRPO: Co-Optimized Group Relative Policy Optimization for Masked Image Generation
- NeurIPS 2026Coarse-to-Fine Compositional Diffusion for Long-Horizon Planning
- NeurIPS 2026CofactVLA: Deconfounding Vision-Language-Action Models via Counterfactual Intervention
- NeurIPS 2026Collective Supervision for Unified Biomolecular Conformation and Dynamics Modeling with CoDyna
- NeurIPS 2026Colored Noise Diffusion Sampling
- NeurIPS 2026Compute-Optimal Pretrain--Fine-tune in Ridge Gradient Flow
- NeurIPS 2026Conditioning Gaussian Processes on Almost Anything
- NeurIPS 2026Confidence-Based Decoding is Provably Efficient for Diffusion Language Models
- NeurIPS 2026Confidence-Based Diffusion Sampling with Geometric Readiness Awareness for Accelerated Structure-based Drug Design
- NeurIPS 2026Conservation Laws for Diffusion Models
- NeurIPS 2026Consistent 3D Surface Flow Model with Global State
- NeurIPS 2026Constrained Decoding for Diffusion Language Models via Efficient Inference over Finite Automata
- NeurIPS 2026Contextual Flow Matching for High-quality Visual Content Generation
- NeurIPS 2026Contextual Flow Matching: Adaptive Step Selection in Flow Models for Efficient Visual Generation
- NeurIPS 2026Continual Learning in Modern Hopfield Networks with an Application to Diffusion Models
- NeurIPS 2026Continuous Diffusion Scales Competitively with Discrete Diffusion for Language
- NeurIPS 2026Continuous Latent Diffusion Language Model
- NeurIPS 2026Continuous Personalized Diffusion Model via Spinor-Component Forward Geometry
- NeurIPS 2026Continuous-Time Distribution Matching for Few-Step Diffusion Distillation
- NeurIPS 2026Continuously-Augmented Hybrid Masked Diffusion Model for Data Imputation
- NeurIPS 2026ControlFlow3D: Distilling Multi-View Knowledge into Latent Flow Matching for Point Cloud Upsampling
- NeurIPS 2026Coreset-Induced Conditional Velocity Flow Matching
- NeurIPS 2026Corrective Diffusion Language Models
- NeurIPS 2026Counterfactual Explanations for Time-Series Classification via Constrained Flow Matching
- NeurIPS 2026Coupled Guidance for Flow Matching
- NeurIPS 2026Cross-Cell-Line Perturbation Prediction Needs Controls
- NeurIPS 2026CSFlow: Aligning Flow Matching with Human Contrast Sensitivity
- NeurIPS 2026Cyclic Denoising Reveals Ultrastable Memories in Diffusion Models
- NeurIPS 2026Cylindrical Geodesic Flow Matching for Quasiperiodic Physiological Signal Transformation
- NeurIPS 2026D-DOIT: Training-free Adaptation of Discrete Diffusion via Doob's h-Transform
- NeurIPS 2026D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models
- NeurIPS 2026DAWN: Dependency-Aware Fast Inference for Diffusion LLMs
- NeurIPS 2026DC-SAE: Deep Compression Semantic Autoencoder for Faster Diffusion Convergence
- NeurIPS 2026Debiased Counterfactual Generation via Flow Matching from Observations
- NeurIPS 2026Debiased DPO for Diffusion Models
- NeurIPS 2026Decoupled Safety Control: A Safety-Control Algorithm for Training-Free Safety Guidance
- NeurIPS 2026Decoupling Action from Egocentric Observation for World Simulation
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