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 6,899 篇，第 109 / 138 页
- ICLR 2024Intriguing Properties of Generative Classifiers
- ICLR 2024Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting
- ICLR 2024JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling
- ICLR 2024Kosmos-G: Generating Images in Context with Multimodal Large Language Models
- ICLR 2024Label-Noise Robust Diffusion Models
- ICLR 2024Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks
- ICLR 2024Language Model Beats Diffusion - Tokenizer is key to visual generation
- ICLR 2024Large-Vocabulary 3D Diffusion Model with Transformer
- ICLR 2024Latent 3D Graph Diffusion
- ICLR 2024Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood
- ICLR 2024Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
- ICLR 2024Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
- ICLR 2024Leveraging Optimization for Adaptive Attacks on Image Watermarks
- ICLR 2024Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
- ICLR 2024Lipschitz Singularities in Diffusion Models
- ICLR 2024LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading
- ICLR 2024LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts
- ICLR 2024LLM-grounded Video Diffusion Models
- ICLR 2024Local Graph Clustering with Noisy Labels
- ICLR 2024Localizing and Editing Knowledge In Text-to-Image Generative Models
- ICLR 2024Long-tailed Diffusion Models with Oriented Calibration
- ICLR 2024Machine Unlearning for Image-to-Image Generative Models
- ICLR 2024MaGIC: Multi-modality Guided Image Completion
- ICLR 2024Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
- ICLR 2024MagicDrive: Street View Generation with Diverse 3D Geometry Control
- ICLR 2024Manifold Diffusion Fields
- ICLR 2024Manifold Preserving Guided Diffusion
- ICLR 2024Masked Completion via Structured Diffusion with White-Box Transformers
- ICLR 2024Matryoshka Diffusion Models
- ICLR 2024MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
- ICLR 2024MINDE: Mutual Information Neural Diffusion Estimation
- ICLR 2024Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
- ICLR 2024Model Merging by Uncertainty-Based Gradient Matching
- ICLR 2024Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects
- ICLR 2024MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design
- ICLR 2024Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems.
- ICLR 2024Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators
- ICLR 2024Multi-Resolution Diffusion Models for Time Series Forecasting
- ICLR 2024Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
- ICLR 2024Multimarginal Generative Modeling with Stochastic Interpolants
- ICLR 2024MVDream: Multi-view Diffusion for 3D Generation
- ICLR 2024NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers
- ICLR 2024Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation
- ICLR 2024Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization
- ICLR 2024NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis
- ICLR 2024Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
- ICLR 2024Noise Map Guidance: Inversion with Spatial Context for Real Image Editing
- ICLR 2024Noise-free Score Distillation
- ICLR 2024NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
- ICLR 2024Object-Aware Inversion and Reassembly for Image Editing
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