扩散模型论文趋势 2023–2026

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。

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 327 篇，第 2 / 7 页

51. NeurIPS 2023Content-based Unrestricted Adversarial Attack
52. NeurIPS 2023Continuous Parametric Optical Flow
53. NeurIPS 2023Continuous-Time Functional Diffusion Processes
54. NeurIPS 2023Contrastive Sampling Chains in Diffusion Models
55. NeurIPS 2023Controlling Text-to-Image Diffusion by Orthogonal Finetuning
56. NeurIPS 2023Convolutional State Space Models for Long-Range Spatiotemporal Modeling
57. NeurIPS 2023CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography
58. NeurIPS 2023Crystal Structure Prediction by Joint Equivariant Diffusion
59. NeurIPS 2023Customizable Image Synthesis with Multiple Subjects
60. NeurIPS 2023CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation
61. NeurIPS 2023D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion
62. NeurIPS 2023Data-Centric Learning from Unlabeled Graphs with Diffusion Model
63. NeurIPS 2023Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic Segmentation
64. NeurIPS 2023DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
65. NeurIPS 2023Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
66. NeurIPS 2023Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes
67. NeurIPS 2023Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation
68. NeurIPS 2023Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the Wild
69. NeurIPS 2023DeepPCR: Parallelizing Sequential Operations in Neural Networks
70. NeurIPS 2023Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models
71. NeurIPS 2023Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
72. NeurIPS 2023DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
73. NeurIPS 2023DiffComplete: Diffusion-based Generative 3D Shape Completion
74. NeurIPS 2023DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
75. NeurIPS 2023DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing
76. NeurIPS 2023DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models
77. NeurIPS 2023DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model
78. NeurIPS 2023DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models
79. NeurIPS 2023Diffused Task-Agnostic Milestone Planner
80. NeurIPS 2023Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence
81. NeurIPS 2023Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks
82. NeurIPS 2023Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
83. NeurIPS 2023Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
84. NeurIPS 2023Diffusion Probabilistic Models for Structured Node Classification
85. NeurIPS 2023Diffusion Representation for Asymmetric Kernels via Magnetic Transform
86. NeurIPS 2023Diffusion Schrödinger Bridge Matching
87. NeurIPS 2023Diffusion Self-Guidance for Controllable Image Generation
88. NeurIPS 2023Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision
89. NeurIPS 2023Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
90. NeurIPS 2023Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation
91. NeurIPS 2023Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection
92. NeurIPS 2023Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback
93. NeurIPS 2023DiffUTE: Universal Text Editing Diffusion Model
94. NeurIPS 2023DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
95. NeurIPS 2023Direct Diffusion Bridge using Data Consistency for Inverse Problems
96. NeurIPS 2023Directional diffusion models for graph representation learning
97. NeurIPS 2023DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
98. NeurIPS 2023DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
99. NeurIPS 2023Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation
100. NeurIPS 2023Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language 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。