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

1,378 papers, page 4 of 28

151. ICML 2026Dimension-free convergence of diffusion models for approximate Gaussian mixtures
152. ICML 2026Dimension-Free Multimodal Sampling via Preconditioned Annealed Langevin Dynamics
153. ICML 2026Direct Flow Q-Learning
154. ICML 2026DirectEdit: Step-Level Accurate Inversion for Flow-Based Image Editing
155. ICML 2026DiscoForcing: A Unified Framework for Real-Time Audio-Driven Character Control with Diffusion Forcing
156. ICML 2026DiScoFormer: Plug-In Density and Score Estimation with Transformers
157. ICML 2026Discovering Symmetry Groups with Flow Matching
158. ICML 2026Discrete Diffusion Samplers and Bridges: Off-Policy Algorithms and Applications in Latent Spaces
159. ICML 2026Discrete Diffusion with Physical Mass Constraints for \emph{De Novo} Peptide Sequencing
160. ICML 2026Discrete Tilt Matching
161. ICML 2026DisPOSE: Projected Polystochastic Diffusion for Self-Supervised Multi-View 3D Human Pose Estimation
162. ICML 2026Distillation Models are Good Samplers for Diffusion Reinforcement Learning
163. ICML 2026DIVER: Diving Deeper into Distilled Data via Expressive Semantic Recovery
164. ICML 2026Divide-and-Denoise: A Game-Theoretic Method for Fairly Composing Diffusion Models
165. ICML 2026dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching
166. ICML 2026DLLMQuant: A Post-Training Quantization Framework Tailored for Diffusion-Based Large Language Models
167. ICML 2026DLM-Scope: Mechanistic Interpretability of Diffusion Language Models via Sparse Autoencoders
168. ICML 2026DSB: Dynamic Sliding Block Scheduling for Diffusion LLMs
169. ICML 2026dTRPO : Trajectory Reduction in Policy Optimization of Diffusion Large Language Models
170. ICML 2026Dual Optimal Transport for Multi-Concept Composition: Structural Alignment and Texture Injection in Diffusion Models
171. ICML 2026Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model
172. ICML 2026Dual-View Predictive Diffusion: Lightweight Speech Enhancement via Spectrogram-Image Synergy
173. ICML 2026DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention
174. ICML 2026DynaMem: Consistent Long Video Generation via Hierarchical Memory and Motion Priors
175. ICML 2026Dynamic Compression Flows for Neuroscience Data
176. ICML 2026Dynamic Fractal Mamba: A Neural Renormalization Group Flow for Scale-Invariant Sequence Modeling
177. ICML 2026DynaTok: Token-Based 4D Reconstruction from Partial Point Clouds
178. ICML 2026DyPE: Dynamic Position Extrapolation for Ultra High Resolution Diffusion
179. ICML 2026Early Decisions Matter: Proximity Bias and Initial Trajectory Shaping in Non-Autoregressive Diffusion Language Models
180. ICML 2026Edit-Based Refinement for Parallel Masked Diffusion Language Models
181. ICML 2026Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning
182. ICML 2026Efficient Diffusion LLMs via Temporal-Spatial Parallel Decoding and Confidence Extrapolation
183. ICML 2026Efficient Diffusion Models under Nonconvex Equality and Inequality constraints via Landing
184. ICML 2026Efficient Diffusion Models via Time Step Optimization with Consistent Training and Inference Constraints
185. ICML 2026Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge Matching
186. ICML 2026Efficient Online Influence Maximization under the Independent Cascade Model with Node-Level Feedback
187. ICML 2026Efficient Parallel Samplers for Recurrent-Depth Models and Their Connection to Diffusion Language Models
188. ICML 2026Efficient Tail-Aware Generative Optimization via Flow Model Fine-Tuning
189. ICML 2026Efficient Test-Time Scaling via Hierarchical Search and Self-Verification for Discrete Diffusion Language Models
190. ICML 2026Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed
191. ICML 2026Efficient, Property-Aligned Fan-Out Retrieval via RL-Compiled Diffusion
192. ICML 2026EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video
193. ICML 2026EigenCache: Rethinking Diffusion Acceleration as Covariance-Optimal Forecasting and Submodular Information Allocation
194. ICML 2026Elastic Diffusion Transformer
195. ICML 2026Elign: Equivariant Diffusion Model Alignment from Foundational Machine Learned Force Fields
196. ICML 2026Embedding-perturbed Exploration Preference Optimization for Flow Models
197. ICML 2026Energy-based Compositional Diffusion Planning
198. ICML 2026Enhanced Latent-Space Adversarial Training for Super-Resolution
199. ICML 2026Enhancing Membership Inference Attacks on Diffusion Models from a Frequency-Domain Perspective
200. ICML 2026Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization

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.