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 2,078 篇，第 21 / 42 页
- ICLR 2025Training-Free Diffusion Model Alignment with Sampling Demons
- ICLR 2025Trajectory attention for fine-grained video motion control
- ICLR 2025Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
- ICLR 2025Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers
- ICLR 2025Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
- ICLR 2025Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
- ICLR 2025Truncated Consistency Models
- ICLR 2025Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
- ICLR 2025TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation
- ICLR 2025U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models
- ICLR 2025UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition
- ICLR 2025Underdamped Diffusion Bridges with Applications to Sampling
- ICLR 2025UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models
- ICLR 2025Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers
- ICLR 2025UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
- ICLR 2025UniRestore3D: A Scalable Framework For General Shape Restoration
- ICLR 2025Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
- ICLR 2025Unlocking Point Processes through Point Set Diffusion
- ICLR 2025Variational Diffusion Posterior Sampling with Midpoint Guidance
- ICLR 2025VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control
- ICLR 2025VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning
- ICLR 2025Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement
- ICLR 2025ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler
- ICLR 2025VideoGrain: Modulating Space-Time Attention for Multi-Grained Video Editing
- ICLR 2025ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
- ICLR 2025VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation
- ICLR 2025Visually Guided Decoding: Gradient-Free Hard Prompt Inversion with Language Models
- ICLR 2025VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
- ICLR 2025Warm Diffusion: Recipe for Blur-Noise Mixture Diffusion Models
- ICLR 2025Wavelet Diffusion Neural Operator
- ICLR 2025What Makes a Good Diffusion Planner for Decision Making?
- ICLR 2025What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?
- ICLR 2025What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models
- ICLR 2025X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios
- ICLR 2025You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs
- ICLR 2025Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
- ICLR 2025ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning
- ICLR 2025Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
- ICML 2025A First-order Generative Bilevel Optimization Framework for Diffusion Models
- ICML 2025A General Framework for Inference-time Scaling and Steering of Diffusion Models
- ICML 2025A Mixture-Based Framework for Guiding Diffusion Models
- ICML 2025A Non-isotropic Time Series Diffusion Model with Moving Average Transitions
- ICML 2025A Variational Perspective on Generative Protein Fitness Optimization
- ICML 2025Accelerated Diffusion Models via Speculative Sampling
- ICML 2025Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional
- ICML 2025Adaptive Flow Matching for Resolving Small-Scale Physics
- ICML 2025Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time
- ICML 2025AdaWorld: Learning Adaptable World Models with Latent Actions
- ICML 2025Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
- ICML 2025AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion 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