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 694 篇，第 8 / 14 页
- ICLR 2026Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-based Models
- ICLR 2026JointDiff: Bridging Continuous and Discrete in Multi-Agent Trajectory Generation
- ICLR 2026KernelFusion: Zero-Shot Blind Super-Resolution via Patch Diffusion
- ICLR 2026KinemaDiff: Towards Diffusion for Coherent and Physically Plausible Human Motion Prediction
- ICLR 2026La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching
- ICLR 2026LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
- ICLR 2026Landing with the Score: Riemannian Optimization through Denoising
- ICLR 2026Laplacian Multi-scale Flow Matching for Generative Modeling
- ICLR 2026Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
- ICLR 2026Latent Diffusion Model without Variational Autoencoder
- ICLR 2026Latent Fourier Transform
- ICLR 2026Latent Stochastic Interpolants
- ICLR 2026Latent Wavelet Diffusion For Ultra High-Resolution Image Synthesis
- ICLR 2026Latent-to-Data Cascaded Diffusion Models for Unconditional Time Series Generation
- ICLR 2026Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation
- ICLR 2026LayerSync: Self-aligning Intermediate Layers
- ICLR 2026LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence
- ICLR 2026Learn to Guide Your Diffusion Model
- ICLR 2026Learnable Sparsity for Vision Generative Models
- ICLR 2026Learning a distance measure from the information-estimation geometry of data
- ICLR 2026Learning an Image Editing Model without Image Editing Pairs
- ICLR 2026Learning Escorted Protocols For Multistate Free-Energy Estimation
- ICLR 2026Learning Flexible Forward Trajectories for Masked Molecular Diffusion
- ICLR 2026Learning from Noisy Preferences: A Semi-Supervised Learning Approach to Direct Preference Optimization
- ICLR 2026Learning Patient-Specific Disease Dynamics With Latent Flow Matching For Longitudinal Imaging Generation
- ICLR 2026Learning to Generate Stylized Handwritten Text via a Unified Representation of Style, Content, and Noise
- ICLR 2026Learning to Parallel: Accelerating Diffusion Large Language Models via Adaptive Parallel Decoding
- ICLR 2026Learning Video Generation for Robotic Manipulation with Collaborative Trajectory Control
- ICLR 2026LearnIR: Learnable Posterior Sampling for Real-World Image Restoration
- ICLR 2026Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers
- ICLR 2026LightCtrl: Training-free Controllable Video Relighting
- ICLR 2026LiTo: Surface Light Field Tokenization
- ICLR 2026Localized Concept Erasure in Text-to-Image Diffusion Models via High-Level Representation Misdirection
- ICLR 2026Logit‑KL Flow Matching: Non‑Autoregressive Text Generation via Sampling‑Hybrid Inference
- ICLR 2026Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall
- ICLR 2026LoRA meets Riemannion: Muon Optimizer for Parametrization-independent Low-Rank Adapters
- ICLR 2026LoRAGen: Structure-Aware Weight Space Learning for LoRA Generation
- ICLR 2026Low-Rank Few-Shot Node Classification by Node-Level Graph Diffusion
- ICLR 2026LucidFlux: Caption-Free Universal Image Restoration via a Large-Scale Diffusion Transformer
- ICLR 2026LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Context
- ICLR 2026Lumos-1: On Autoregressive Video Generation with Discrete Diffusion from a Unified Model Perspective
- ICLR 2026LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation
- ICLR 2026LVTINO: LAtent Video consisTency INverse sOlver for High Definition Video Restoration
- ICLR 2026Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation
- ICLR 2026MAGREF: Masked Guidance for Any-Reference Video Generation with Subject Disentanglement
- ICLR 2026MambaVoiceCloning: Efficient and Expressive Text-to-Speech via State-Space Modeling and Diffusion Control
- ICLR 2026Many-for-Many: Unify the Training of Multiple Video and Image Generation and Manipulation Tasks
- ICLR 2026MarS-FM: Generative Modeling of Molecular Dynamics via Markov State Models
- ICLR 2026Massive Activations are the Key to Local Detail Synthesis in Diffusion Transformers
- ICLR 2026Massive Editing for Large Language Models Based on Dynamic Weight Generation
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