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 195 篇，第 4 / 4 页
- ICML 2024Retrieval-Augmented Score Distillation for Text-to-3D Generation
- ICML 2024Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
- ICML 2024Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models
- ICML 2024RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching
- ICML 2024Robust Classification via a Single Diffusion Model
- ICML 2024Robust Inverse Graphics via Probabilistic Inference
- ICML 2024Rolling Diffusion Models
- ICML 2024S$\Omega$I: Score-based O-INFORMATION Estimation
- ICML 2024Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models
- ICML 2024Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers
- ICML 2024Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
- ICML 2024Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
- ICML 2024Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
- ICML 2024SCoRe: Submodular Combinatorial Representation Learning
- ICML 2024Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
- ICML 2024Sliced Wasserstein with Random-Path Projecting Directions
- ICML 2024Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal Slices
- ICML 2024SMaRt: Improving GANs with Score Matching Regularity
- ICML 2024Sobolev Space Regularised Pre Density Models
- ICML 2024Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
- ICML 2024Speech Self-Supervised Learning Using Diffusion Model Synthetic Data
- ICML 2024Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
- ICML 2024Stereo Risk: A Continuous Modeling Approach to Stereo Matching
- ICML 2024Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis
- ICML 2024Subgoal-based Demonstration Learning for Formal Theorem Proving
- ICML 2024Swallowing the Bitter Pill: Simplified Scalable Conformer Generation
- ICML 2024Switched Flow Matching: Eliminating Singularities via Switching ODEs
- ICML 2024Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion
- ICML 2024TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors
- ICML 2024Test-Time Degradation Adaptation for Open-Set Image Restoration
- ICML 2024The Emergence of Reproducibility and Consistency in Diffusion Models
- ICML 2024The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline
- ICML 2024The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
- ICML 2024Theoretical insights for diffusion guidance: A case study for Gaussian mixture models
- ICML 2024Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling
- ICML 2024Time Series Diffusion in the Frequency Domain
- ICML 2024Towards Neural Architecture Search through Hierarchical Generative Modeling
- ICML 2024Towards Theoretical Understandings of Self-Consuming Generative Models
- ICML 2024Understanding Diffusion Models by Feynman's Path Integral
- ICML 2024Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding
- ICML 2024Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations
- ICML 2024Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection
- ICML 2024Variational Schrödinger Diffusion Models
- ICML 2024What’s the score? Automated Denoising Score Matching for Nonlinear Diffusions
- ICML 2024Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion
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