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 694 篇，第 3 / 14 页

101. NeurIPS 2025Continuous Diffusion Model for Language Modeling
102. NeurIPS 2025Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Control
103. NeurIPS 2025Controllable Human-centric Keyframe Interpolation with Generative Prior
104. NeurIPS 2025CORAL: Disentangling Latent Representations in Long-Tailed Diffusion
105. NeurIPS 2025CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step
106. NeurIPS 2025Counterfactual Identifiability via Dynamic Optimal Transport
107. NeurIPS 2025Counterfactual Image Editing with Disentangled Causal Latent Space
108. NeurIPS 2025Coupled Data and Measurement Space Dynamics for Enhanced Diffusion Posterior Sampling
109. NeurIPS 2025CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching
110. NeurIPS 2025CPO: Condition Preference Optimization for Controllable Image Generation
111. NeurIPS 2025Cross City Traffic Flow Generation via Retrieval Augmented Diffusion Model
112. NeurIPS 2025Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
113. NeurIPS 2025Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models
114. NeurIPS 2025CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models
115. NeurIPS 2025Curly Flow Matching for Learning Non-gradient Field Dynamics
116. NeurIPS 2025CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene Generation
117. NeurIPS 2025D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images
118. NeurIPS 2025d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
119. NeurIPS 2025DCI: Dual-Conditional Inversion for Boosting Diffusion-Based Image Editing
120. NeurIPS 2025DEAL: Diffusion Evolution Adversarial Learning for Sim-to-Real Transfer
121. NeurIPS 2025DeblurDiff: Real-Word Image Deblurring with Generative Diffusion Models
122. NeurIPS 2025Decomposing stimulus-specific sensory neural information via diffusion models
123. NeurIPS 2025Deep Compositional Phase Diffusion for Long Motion Sequence Generation
124. NeurIPS 2025Deep learning for continuous-time stochastic control with jumps
125. NeurIPS 2025Denoising Trajectory Biases for Zero-Shot AI-Generated Image Detection
126. NeurIPS 2025DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models
127. NeurIPS 2025Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-based Decoding
128. NeurIPS 2025DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models
129. NeurIPS 2025DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration
130. NeurIPS 2025DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks
131. NeurIPS 2025DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling
132. NeurIPS 2025Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior
133. NeurIPS 2025DiffBreak: Is Diffusion-Based Purification Robust?
134. NeurIPS 2025DiffE2E: Rethinking End-to-End Driving with a Hybrid Diffusion-Regression-Classification Policy
135. NeurIPS 2025Differentiable Generalized Sliced Wasserstein Plans
136. NeurIPS 2025DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Images
137. NeurIPS 2025DiffLiG: Diffusion-enhanced Liquid Graph with Attention Propagation for Grid-to-Station Precipitation Correction
138. NeurIPS 2025Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
139. NeurIPS 2025Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models
140. NeurIPS 2025Diffusion Beats Autoregressive in Data-Constrained Settings
141. NeurIPS 2025Diffusion Classifiers Understand Compositionality, but Conditions Apply
142. NeurIPS 2025Diffusion Feature Field for Text-based 3D Editing with Gaussian Splatting
143. NeurIPS 2025Diffusion Federated Dataset
144. NeurIPS 2025Diffusion Generative Modeling on Lie Group Representations
145. NeurIPS 2025Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
146. NeurIPS 2025Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization
147. NeurIPS 2025Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive
148. NeurIPS 2025Diffusion Models Meet Contextual Bandits
149. NeurIPS 2025Diffusion on Demand: Selective Caching and Modulation for Efficient Generation
150. NeurIPS 2025Diffusion Transformers as Open-World Spatiotemporal Foundation 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。