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 14 / 28 页
- ICML 2026Towards Generative Graph Matching for Graph Edit Distance Computation
- ICML 2026Towards Seed-Robust Safety Alignment in Text-to-Image Models
- ICML 2026Towards Sub-Second Molecular Docking as a Structural Primitive: A Quantized Consistency Diffusion Framework
- ICML 2026Towards Trustworthy and Identifiable Virtual Face Generation
- ICML 2026TPGDiff : Hierarchical Triple-Prior Guided Diffusion for Image Restoration
- ICML 2026Training Diffusion Language Models for Black-Box Optimization
- ICML 2026Training-Free Adaptation of Diffusion Models via Doob's $h$-Transform
- ICML 2026Training-Free Bayesian Filtering with Generative Emulators
- ICML 2026Training-Free Coverless Multi-Image Steganography with Access Control
- ICML 2026Training-Free Guided Diffusion for Planning: A Unified Framework via Doob’s h-Transform with Safety Guarantees
- ICML 2026Training-Free Rate-Distortion-Perception Traversal With Diffusion
- ICML 2026Trajectory-Aware Spiking DiTs Conversion via Membrane Potential Error-Feedback
- ICML 2026Trajectory-Level Speculative Decoding for Diffusion Language Models
- ICML 2026Trajectory-Stabilized Inference for Diffusion-Based Video Inpainting
- ICML 2026Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs
- ICML 2026TransLight: Image-Guided Customized Lighting Control with Generative Decoupling
- ICML 2026TransNormal: Dense Visual Semantics for Diffusion-based Transparent Object Normal Estimation
- ICML 2026Trees to Flows and Back: Unifying Decision Trees and Diffusion Models
- ICML 2026Triadic Dynamics Aware Diffusion Posterior Sampling for Inverse Problems: Optimizing Guidance and Stochasticity Schedules
- ICML 2026Trust-Region Diffusion Policies for Massively Parallel On-Policy RL
- ICML 2026Tuning the Implicit Regularizer of Masked Diffusion Language Models: Enhancing Generalization via Insights from $k$-Parity
- ICML 2026Turbo4DGen: Ultra-Fast Acceleration for 4D Generation
- ICML 2026Twins: Learn to Predict Unified Representations with Focal Loss
- ICML 2026Two Calm Ends and the Wild Middle: A Geometric Picture of Memorization in Diffusion Models
- ICML 2026Two Modalities Are Better Than One: Efficient Adversarial Purification via Multimodal Diffusion Models
- ICML 2026Two-Parameter Flows for Learning Population Dynamics of Physical Systems
- ICML 2026UDM-GRPO: Stable and Efficient Group Relative Policy Optimization for Uniform Discrete Diffusion Models
- ICML 2026Unfolding Generative Flows with Koopman Operators: Trajectory-Preserving Linearization
- ICML 2026UnHype: CLIP-Guided Hypernetworks for Dynamic LoRA Unlearning
- ICML 2026Unifying Deep Stochastic Processes for Image Enhancement
- ICML 2026Unifying Heterogeneous Degradations: Uncertainty-Aware Diffusion Bridge Model for All-in-One Image Restoration
- ICML 2026Unifying Masked Diffusion Models with Various Generation Orders and Beyond
- ICML 2026Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints
- ICML 2026Unlocking Cross-Modal Biosignal Synthesis: A Temporally-Aware VAE-Diffusion Model
- ICML 2026UnMaskFork: Test-Time Scaling for Masked Diffusion via Deterministic Action Branching
- ICML 2026Unpaired Visual Editing with Self-Consistent Flow Matching
- ICML 2026Unsupervised Diffusion Solver for Combinatorial Optimization via Combinatorial Adjoint Matching
- ICML 2026Value-as-Return: A Two-Stage Framework to Align on the Optimal Score Function
- ICML 2026Variable-Length Tokenization via Learnable Global Merging for Diffusion Transformers
- ICML 2026Variational Bayesian Flow Network for Graph Generation
- ICML 2026Variational Flow Maps: Make Some Noise for One-Step Conditional Generation
- ICML 2026Variational Learning for Insertion-based Generation
- ICML 2026VecDesigner: Exploring Visual Guidance and Structural Consistency for Semantic Typography
- ICML 2026VecMol: Vector-Field Representations for 3D Molecule Generation
- ICML 2026Veda: Scalable Video Diffusion via Distilled Sparse Attention
- ICML 2026VELR: Efficient Video Reward Feedback via Ensemble Latent Reward Models
- ICML 2026VFMF: Dense Forecasting by Generating Foundation Model Features
- ICML 2026Video-SVD: Efficient Video Diffusion via Orthogonal Basis Composition
- ICML 2026VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation
- ICML 2026VideoMAETok: Boosting Video Diffusion Models via Masked Autoencoders as Tokenizers
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