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 23 / 28 页
- ICML 2024CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models
- ICML 2024Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale
- ICML 2024Cluster-Aware Similarity Diffusion for Instance Retrieval
- ICML 2024CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding
- ICML 2024Compositional Image Decomposition with Diffusion Models
- ICML 2024Compositional Text-to-Image Generation with Dense Blob Representations
- ICML 2024Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases
- ICML 2024Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
- ICML 2024Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design
- ICML 2024Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder
- ICML 2024Critical windows: non-asymptotic theory for feature emergence in diffusion models
- ICML 2024Cross-view Masked Diffusion Transformers for Person Image Synthesis
- ICML 2024CW Complex Hypothesis for Image Data
- ICML 2024D-Flow: Differentiating through Flows for Controlled Generation
- ICML 2024Data-free Distillation of Diffusion Models with Bootstrapping
- ICML 2024Deep Stochastic Mechanics
- ICML 2024Demystifying SGD with Doubly Stochastic Gradients
- ICML 2024Denoising Autoregressive Representation Learning
- ICML 2024DFlow: A Generative Model Combining Denoising AutoEncoder and Normalizing Flow for High Fidelity Waveform Generation
- ICML 2024DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation
- ICML 2024DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation
- ICML 2024DiffDA: a Diffusion model for weather-scale Data Assimilation
- ICML 2024Differentially Private Synthetic Data via Foundation Model APIs 2: Text
- ICML 2024DiffFPR: Diffusion Prior for Oversampled Fourier Phase Retrieval
- ICML 2024Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation
- ICML 2024Diffusion Language Models Are Versatile Protein Learners
- ICML 2024Diffusion Model-Augmented Behavioral Cloning
- ICML 2024Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance
- ICML 2024Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
- ICML 2024Diffusion Posterior Sampling is Computationally Intractable
- ICML 2024Diffusion Rejection Sampling
- ICML 2024Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations
- ICML 2024Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering
- ICML 2024Diffusive Gibbs Sampling
- ICML 2024DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency
- ICML 2024Directly Denoising Diffusion Models
- ICML 2024Dirichlet Flow Matching with Applications to DNA Sequence Design
- ICML 2024DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
- ICML 2024Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
- ICML 2024Disguised Copyright Infringement of Latent Diffusion Models
- ICML 2024DITTO: Diffusion Inference-Time T-Optimization for Music Generation
- ICML 2024Don't be so Negative! Score-based Generative Modeling with Oracle-assisted Guidance
- ICML 2024DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images
- ICML 2024E$^2$GAN: Efficient Training of Efficient GANs for Image-to-Image Translation
- ICML 2024Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring
- ICML 2024Editing Partially Observable Networks via Graph Diffusion Models
- ICML 2024Efficient Denoising Diffusion via Probabilistic Masking
- ICML 2024Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
- ICML 2024Equivariant Diffusion for Crystal Structure Prediction
- ICML 2024Fast Timing-Conditioned Latent Audio Diffusion
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