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 107 / 138 页
- ICLR 2024DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models
- ICLR 2024DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations
- ICLR 2024De novo Protein Design Using Geometric Vector Field Networks
- ICLR 2024DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization
- ICLR 2024Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
- ICLR 2024Deep Confident Steps to New Pockets: Strategies for Docking Generalization
- ICLR 2024Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders
- ICLR 2024Demystifying Poisoning Backdoor Attacks from a Statistical Perspective
- ICLR 2024Denoising Diffusion Bridge Models
- ICLR 2024Denoising Diffusion Step-aware Models
- ICLR 2024Denoising Diffusion via Image-Based Rendering
- ICLR 2024Denoising Task Routing for Diffusion Models
- ICLR 2024Detecting, Explaining, and Mitigating Memorization in Diffusion Models
- ICLR 2024DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
- ICLR 2024DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation
- ICLR 2024DiffEnc: Variational Diffusion with a Learned Encoder
- ICLR 2024Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization
- ICLR 2024Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation
- ICLR 2024Diffusion Model for Dense Matching
- ICLR 2024Diffusion Models for Multi-Task Generative Modeling
- ICLR 2024Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective
- ICLR 2024Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
- ICLR 2024Diffusion-TS: Interpretable Diffusion for General Time Series Generation
- ICLR 2024DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models
- ICLR 2024DiffusionSat: A Generative Foundation Model for Satellite Imagery
- ICLR 2024Directly Fine-Tuning Diffusion Models on Differentiable Rewards
- ICLR 2024Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search
- ICLR 2024DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
- ICLR 2024DMBP: Diffusion model-based predictor for robust offline reinforcement learning against state observation perturbations
- ICLR 2024DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model
- ICLR 2024Do Generated Data Always Help Contrastive Learning?
- ICLR 2024Don't Play Favorites: Minority Guidance for Diffusion Models
- ICLR 2024DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$
- ICLR 2024DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
- ICLR 2024DreamClean: Restoring Clean Image Using Deep Diffusion Prior
- ICLR 2024DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
- ICLR 2024DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow
- ICLR 2024DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation
- ICLR 2024Dynamics-Informed Protein Design with Structure Conditioning
- ICLR 2024ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF
- ICLR 2024Effective Data Augmentation With Diffusion Models
- ICLR 2024Efficient and Scalable Graph Generation through Iterative Local Expansion
- ICLR 2024Efficient Integrators for Diffusion Generative Models
- ICLR 2024Efficient Planning with Latent Diffusion
- ICLR 2024Efficient Score Matching with Deep Equilibrium Layers
- ICLR 2024Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
- ICLR 2024Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day
- ICLR 2024EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
- ICLR 2024Elucidating the design space of classifier-guided diffusion generation
- ICLR 2024Elucidating the Exposure Bias in Diffusion Models
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