Diffusion Models papers, 2023–2026

Key findings

• Diffusion Models went from 660 papers in 2023 to 2,691 in 2026, roughly 4.1x in three years.
• NeurIPS publishes the most Diffusion Models work: 2,202 papers from 2023 to 2026, 32% of the four-venue total.
• The fastest-growing overlap is with Applications · chemistry physics and earth sciences: papers tagged with both rose from 14 in 2023 to 163 in 2026.
• Among the 11 topics under Deep Learning, it ranks #1 by 2026 paper count; the fastest grower in the group, Deep learning · foundation models, is up 2.5x versus 4.1x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Diffusion Models papers

661 papers, page 3 of 14

101. NeurIPS 2026Continuous Latent Diffusion Language Model
102. NeurIPS 2026Continuous Personalized Diffusion Model via Spinor-Component Forward Geometry
103. NeurIPS 2026Continuous-Time Distribution Matching for Few-Step Diffusion Distillation
104. NeurIPS 2026Continuously-Augmented Hybrid Masked Diffusion Model for Data Imputation
105. NeurIPS 2026ControlFlow3D: Distilling Multi-View Knowledge into Latent Flow Matching for Point Cloud Upsampling
106. NeurIPS 2026Coreset-Induced Conditional Velocity Flow Matching
107. NeurIPS 2026Corrective Diffusion Language Models
108. NeurIPS 2026Counterfactual Explanations for Time-Series Classification via Constrained Flow Matching
109. NeurIPS 2026Coupled Guidance for Flow Matching
110. NeurIPS 2026Cross-Cell-Line Perturbation Prediction Needs Controls
111. NeurIPS 2026CSFlow: Aligning Flow Matching with Human Contrast Sensitivity
112. NeurIPS 2026Cyclic Denoising Reveals Ultrastable Memories in Diffusion Models
113. NeurIPS 2026Cylindrical Geodesic Flow Matching for Quasiperiodic Physiological Signal Transformation
114. NeurIPS 2026D-DOIT: Training-free Adaptation of Discrete Diffusion via Doob's h-Transform
115. NeurIPS 2026D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models
116. NeurIPS 2026DAWN: Dependency-Aware Fast Inference for Diffusion LLMs
117. NeurIPS 2026DC-SAE: Deep Compression Semantic Autoencoder for Faster Diffusion Convergence
118. NeurIPS 2026Debiased Counterfactual Generation via Flow Matching from Observations
119. NeurIPS 2026Debiased DPO for Diffusion Models
120. NeurIPS 2026Decoupled Safety Control: A Safety-Control Algorithm for Training-Free Safety Guidance
121. NeurIPS 2026Decoupling Action from Egocentric Observation for World Simulation
122. NeurIPS 2026DeFlowCritic: Dense Latent Reward Alignment for Text-to-Image Flow Matching Models
123. NeurIPS 2026Denoising Time Matters: Diverse Generation in Diffusion Language Models
124. NeurIPS 2026Dependency-Guided Parallel Decoding in Discrete Diffusion Language Models
125. NeurIPS 2026Designing Reinforcement Learning for Diffusion Models: A Unified Path-Space View
126. NeurIPS 2026DexOPE: 6D Object Pose Estimation in Dexterous Manipulation
127. NeurIPS 2026Diff-Aid: Inference-time Adaptive Interaction Denoising for Rectified Text-to-Image Generation
128. NeurIPS 2026DiffATS: Diffusion in Aligned Tensor Space
129. NeurIPS 2026DiffCool: Label-Free Synthesis of Chip-Tailored Heat Sinks via Thermal-Aware Diffusion
130. NeurIPS 2026Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting
131. NeurIPS 2026Differential Vector Erasure: Unified Training-Free Concept Erasure for Flow Matching Models
132. NeurIPS 2026DiffPTS: Rethinking Diffusion ELBO for Probabilistic Time Series Forecasting
133. NeurIPS 2026DifFRACT: Diffusion Feature Reconstruction and Attribution for Circuit Tracing
134. NeurIPS 2026DiffRisk: Diffusion Representation Learning with Informative Missingness for Health Risk Prediction
135. NeurIPS 2026Diffusion fine-tuning with Rewarded Moment Matching Distillation
136. NeurIPS 2026Diffusion Language Models Can Approximate Optimal Infilling Lengths Implicitly
137. NeurIPS 2026Diffusion Meta-Prompting and Steering for Generalizable Foundation Model Adaptation
138. NeurIPS 2026Diffusion Model's Generalization Can Be Characterized by Inductive Biases toward a Data-Dependent Ridge Manifold
139. NeurIPS 2026Diffusion Models Observe Only Gradients: A Geometric Perspective on Score Matching Errors
140. NeurIPS 2026Diffusion Models without Classifier-free Guidance
141. NeurIPS 2026Diffusion Path Samplers via Sequential Monte Carlo
142. NeurIPS 2026Diffusion Transformers with Residual Adaptive Layer Normalization
143. NeurIPS 2026Diffusion-State Policy Optimization for Masked Diffusion Language Models
144. NeurIPS 2026Diffusion-Time Concept Manifolds: Sparse Autoencoder Groups for Interpreting Denoising Language Models
145. NeurIPS 2026Diffusion-warm sampling of the XY model enables fast thermalization at scale
146. NeurIPS 2026DiLaDiff: Distilled Latent-augmented Diffusion for Language Modeling
147. NeurIPS 2026DiPhon: Diffusion on Graphons for Scalable Graph Generation
148. NeurIPS 2026Direct Conditioning of Audio Diffusion Transformers on fMRI Reveals Cortical Contributions to Sound Reconstruction
149. NeurIPS 2026Direct Product Flow Matching: Decoupling Radial and Angular Dynamics for Few-Shot Adaptation
150. NeurIPS 2026DiRecT: Safe Diffusion-Based Planning via Receding-Horizon Denoising

FAQ

How many Diffusion Models papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

6,900 in total: 660 in 2023, 1,471 in 2024, 2,078 in 2025, 2,691 in 2026.

How many Diffusion Models papers are at NeurIPS 2026?

NeurIPS 2026 has 661 Diffusion Models papers, versus 694 the year before.

How many Diffusion Models papers are at ICLR 2026?

ICLR 2026 has 694 Diffusion Models papers, versus 487 the year before.

How many Diffusion Models papers are at ICML 2026?

ICML 2026 has 728 Diffusion Models papers, versus 346 the year before.

How many Diffusion Models papers are at CVPR 2026?

CVPR 2026 has 608 Diffusion Models papers, versus 551 the year before.

Which conference publishes the most Diffusion Models papers?

NeurIPS, with 2,202 papers from 2023 to 2026.