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 260 篇，第 2 / 6 页

51. ICLR 2024DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation
52. ICLR 2024DiffEnc: Variational Diffusion with a Learned Encoder
53. ICLR 2024Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization
54. ICLR 2024Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation
55. ICLR 2024Diffusion Model for Dense Matching
56. ICLR 2024Diffusion Models for Multi-Task Generative Modeling
57. ICLR 2024Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective
58. ICLR 2024Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
59. ICLR 2024Diffusion-TS: Interpretable Diffusion for General Time Series Generation
60. ICLR 2024DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models
61. ICLR 2024DiffusionSat: A Generative Foundation Model for Satellite Imagery
62. ICLR 2024Directly Fine-Tuning Diffusion Models on Differentiable Rewards
63. ICLR 2024Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search
64. ICLR 2024DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
65. ICLR 2024DMBP: Diffusion model-based predictor for robust offline reinforcement learning against state observation perturbations
66. ICLR 2024DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model
67. ICLR 2024Do Generated Data Always Help Contrastive Learning?
68. ICLR 2024Don't Play Favorites: Minority Guidance for Diffusion Models
69. ICLR 2024DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$
70. ICLR 2024DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
71. ICLR 2024DreamClean: Restoring Clean Image Using Deep Diffusion Prior
72. ICLR 2024DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
73. ICLR 2024DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow
74. ICLR 2024DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation
75. ICLR 2024Dynamics-Informed Protein Design with Structure Conditioning
76. ICLR 2024ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF
77. ICLR 2024Effective Data Augmentation With Diffusion Models
78. ICLR 2024Efficient and Scalable Graph Generation through Iterative Local Expansion
79. ICLR 2024Efficient Integrators for Diffusion Generative Models
80. ICLR 2024Efficient Planning with Latent Diffusion
81. ICLR 2024Efficient Score Matching with Deep Equilibrium Layers
82. ICLR 2024Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
83. ICLR 2024Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day
84. ICLR 2024EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
85. ICLR 2024Elucidating the design space of classifier-guided diffusion generation
86. ICLR 2024Elucidating the Exposure Bias in Diffusion Models
87. ICLR 2024EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
88. ICLR 2024Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
89. ICLR 2024Exploring Diffusion Time-steps for Unsupervised Representation Learning
90. ICLR 2024Exposing Text-Image Inconsistency Using Diffusion Models
91. ICLR 2024Fast Ensembling with Diffusion Schrödinger Bridge
92. ICLR 2024Fast, Expressive $\mathrm{SE}(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space
93. ICLR 2024Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
94. ICLR 2024Finetuning Text-to-Image Diffusion Models for Fairness
95. ICLR 2024FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing
96. ICLR 2024Flow Matching on General Geometries
97. ICLR 2024Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation
98. ICLR 2024FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling
99. ICLR 2024FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators
100. ICLR 2024From Zero to Turbulence: Generative Modeling for 3D Flow Simulation

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。