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 2,202 篇，第 41 / 45 页
- NeurIPS 2023Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations
- NeurIPS 2023Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
- NeurIPS 2023Extracting Reward Functions from Diffusion Models
- NeurIPS 2023Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
- NeurIPS 2023FaceComposer: A Unified Model for Versatile Facial Content Creation
- NeurIPS 2023FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models
- NeurIPS 2023Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees
- NeurIPS 2023Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
- NeurIPS 2023FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing
- NeurIPS 2023Flow Matching for Scalable Simulation-Based Inference
- NeurIPS 2023Formulating Discrete Probability Flow Through Optimal Transport
- NeurIPS 2023Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator
- NeurIPS 2023From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion
- NeurIPS 2023Functional Renyi Differential Privacy for Generative Modeling
- NeurIPS 2023Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration
- NeurIPS 2023Gaussian Mixture Solvers for Diffusion Models
- NeurIPS 2023Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion
- NeurIPS 2023Generating Behaviorally Diverse Policies with Latent Diffusion Models
- NeurIPS 2023Generative Category-level Object Pose Estimation via Diffusion Models
- NeurIPS 2023Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
- NeurIPS 2023Generative Neural Fields by Mixtures of Neural Implicit Functions
- NeurIPS 2023GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
- NeurIPS 2023Geometric Neural Diffusion Processes
- NeurIPS 2023Global Structure-Aware Diffusion Process for Low-light Image Enhancement
- NeurIPS 2023GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodER
- NeurIPS 2023GlyphControl: Glyph Conditional Control for Visual Text Generation
- NeurIPS 2023GMSF: Global Matching Scene Flow
- NeurIPS 2023GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints
- NeurIPS 2023Graph Denoising Diffusion for Inverse Protein Folding
- NeurIPS 2023Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
- NeurIPS 2023HeadSculpt: Crafting 3D Head Avatars with Text
- NeurIPS 2023Hierarchical Integration Diffusion Model for Realistic Image Deblurring
- NeurIPS 2023Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration
- NeurIPS 2023ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation
- NeurIPS 2023Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion
- NeurIPS 2023Implicit Transfer Operator Learning: Multiple Time-Resolution Models for Molecular Dynamics
- NeurIPS 2023IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI
- NeurIPS 2023Improving Diffusion-Based Image Synthesis with Context Prediction
- NeurIPS 2023In-Context Learning Unlocked for Diffusion Models
- NeurIPS 2023Incomplete Multimodality-Diffused Emotion Recognition
- NeurIPS 2023InsActor: Instruction-driven Physics-based Characters
- NeurIPS 2023Inserting Anybody in Diffusion Models via Celeb Basis
- NeurIPS 2023Intervention Generalization: A View from Factor Graph Models
- NeurIPS 2023Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics
- NeurIPS 2023Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
- NeurIPS 2023Knowledge Diffusion for Distillation
- NeurIPS 2023L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors
- NeurIPS 2023Label-Only Model Inversion Attacks via Knowledge Transfer
- NeurIPS 2023Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels
- NeurIPS 2023LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
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