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 133 / 138 页
- NeurIPS 2023Boundary Guided Learning-Free Semantic Control with Diffusion Models
- NeurIPS 2023Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models
- NeurIPS 2023Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark
- NeurIPS 2023Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback
- NeurIPS 2023Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity
- NeurIPS 2023Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation
- NeurIPS 2023COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs
- NeurIPS 2023Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
- NeurIPS 2023Collaborative Score Distillation for Consistent Visual Editing
- NeurIPS 2023CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion
- NeurIPS 2023Complexity Matters: Rethinking the Latent Space for Generative Modeling
- NeurIPS 2023Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
- NeurIPS 2023Compositional Foundation Models for Hierarchical Planning
- NeurIPS 2023Compositional Sculpting of Iterative Generative Processes
- NeurIPS 2023Concept Algebra for (Score-Based) Text-Controlled Generative Models
- NeurIPS 2023Conditional Matrix Flows for Gaussian Graphical Models
- NeurIPS 2023Conditional Score Guidance for Text-Driven Image-to-Image Translation
- NeurIPS 2023Conditional score-based diffusion models for Bayesian inference in infinite dimensions
- NeurIPS 2023Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model
- NeurIPS 2023ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image
- NeurIPS 2023Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
- NeurIPS 2023Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing
- NeurIPS 2023Content-based Unrestricted Adversarial Attack
- NeurIPS 2023Continuous Parametric Optical Flow
- NeurIPS 2023Continuous-Time Functional Diffusion Processes
- NeurIPS 2023Contrastive Sampling Chains in Diffusion Models
- NeurIPS 2023Controlling Text-to-Image Diffusion by Orthogonal Finetuning
- NeurIPS 2023Convolutional State Space Models for Long-Range Spatiotemporal Modeling
- NeurIPS 2023CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography
- NeurIPS 2023Crystal Structure Prediction by Joint Equivariant Diffusion
- NeurIPS 2023Customizable Image Synthesis with Multiple Subjects
- NeurIPS 2023CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation
- NeurIPS 2023D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion
- NeurIPS 2023Data-Centric Learning from Unlabeled Graphs with Diffusion Model
- NeurIPS 2023Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic Segmentation
- NeurIPS 2023DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
- NeurIPS 2023Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
- NeurIPS 2023Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes
- NeurIPS 2023Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation
- NeurIPS 2023Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the Wild
- NeurIPS 2023DeepPCR: Parallelizing Sequential Operations in Neural Networks
- NeurIPS 2023Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models
- NeurIPS 2023Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
- NeurIPS 2023DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
- NeurIPS 2023DiffComplete: Diffusion-based Generative 3D Shape Completion
- NeurIPS 2023DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
- NeurIPS 2023DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing
- NeurIPS 2023DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models
- NeurIPS 2023DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model
- NeurIPS 2023DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative 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