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 195 篇，第 3 / 4 页

101. ICML 2024Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation
102. ICML 2024Interpreting and Improving Diffusion Models from an Optimization Perspective
103. ICML 2024Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
104. ICML 2024Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
105. ICML 2024Iterative Search Attribution for Deep Neural Networks
106. ICML 2024Learning a Diffusion Model Policy from Rewards via Q-Score Matching
107. ICML 2024Learning Divergence Fields for Shift-Robust Graph Representations
108. ICML 2024Learning Iterative Reasoning through Energy Diffusion
109. ICML 2024Learning Latent Space Hierarchical EBM Diffusion Models
110. ICML 2024Learning to Reach Goals via Diffusion
111. ICML 2024Light and Optimal Schrödinger Bridge Matching
112. ICML 2024Listening to the noise: Blind Denoising with Gibbs Diffusion
113. ICML 2024MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
114. ICML 2024Make-A-Shape: a Ten-Million-scale 3D Shape Model
115. ICML 2024Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
116. ICML 2024Mean-field Chaos Diffusion Models
117. ICML 2024Membership Inference Attacks on Diffusion Models via Quantile Regression
118. ICML 2024Mimicking Better by Matching the Approximate Action Distribution
119. ICML 2024Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions
120. ICML 2024MoMo: Momentum Models for Adaptive Learning Rates
121. ICML 2024MS$^3$D: A RG Flow-Based Regularization for GAN Training with Limited Data
122. ICML 2024MusicFlow: Cascaded Flow Matching for Text Guided Music Generation
123. ICML 2024NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
124. ICML 2024Nearest Neighbour Score Estimators for Diffusion Generative Models
125. ICML 2024Neural Diffusion Models
126. ICML 2024Neural Jump-Diffusion Temporal Point Processes
127. ICML 2024Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
128. ICML 2024Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
129. ICML 2024Non-confusing Generation of Customized Concepts in Diffusion Models
130. ICML 2024On Discrete Prompt Optimization for Diffusion Models
131. ICML 2024On the Trajectory Regularity of ODE-based Diffusion Sampling
132. ICML 2024Online bipartite matching with imperfect advice
133. ICML 2024Particle Denoising Diffusion Sampler
134. ICML 2024PID: Prompt-Independent Data Protection Against Latent Diffusion Models
135. ICML 2024Plug-and-Play image restoration with Stochastic deNOising REgularization
136. ICML 2024Position: Compositional Generative Modeling: A Single Model is Not All You Need
137. ICML 2024Potential Based Diffusion Motion Planning
138. ICML 2024PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching
139. ICML 2024Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model
140. ICML 2024Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines
141. ICML 2024Prompt-guided Precise Audio Editing with Diffusion Models
142. ICML 2024Prompt-tuning Latent Diffusion Models for Inverse Problems
143. ICML 2024Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
144. ICML 2024Protein Conformation Generation via Force-Guided SE(3) Diffusion Models
145. ICML 2024Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
146. ICML 2024Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge
147. ICML 2024ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence Estimation
148. ICML 2024Reflected Flow Matching
149. ICML 2024Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree
150. ICML 2024Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion

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。