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

694 papers, page 4 of 14

151. NeurIPS 2025Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
152. NeurIPS 2025Diffusion Tree Sampling: Scalable inference‑time alignment of diffusion models
153. NeurIPS 2025Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics
154. NeurIPS 2025Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL
155. NeurIPS 2025Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation
156. NeurIPS 2025Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
157. NeurIPS 2025Diffusion-Guided Graph Data Augmentation
158. NeurIPS 2025Dimension-free Score Matching and Time Bootstrapping for Diffusion Models
159. NeurIPS 2025DINGO: Constrained Inference for Diffusion LLMs
160. NeurIPS 2025DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data
161. NeurIPS 2025Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
162. NeurIPS 2025DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models
163. NeurIPS 2025Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation
164. NeurIPS 2025Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
165. NeurIPS 2025Discrete Neural Flow Samplers with Locally Equivariant Transformer
166. NeurIPS 2025Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling
167. NeurIPS 2025Distributional Autoencoders Know the Score
168. NeurIPS 2025Distributional Training Data Attribution: What do Influence Functions Sample?
169. NeurIPS 2025dKV-Cache: The Cache for Diffusion Language Models
170. NeurIPS 2025DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform
171. NeurIPS 2025DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing
172. NeurIPS 2025Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback
173. NeurIPS 2025Don’t Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation
174. NeurIPS 2025Don’t Trade Off Safety: Diffusion Regularization for Constrained Offline RL
175. NeurIPS 2025DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution
176. NeurIPS 2025DP²O-SR: Direct Perceptual Preference Optimization for Real-World Image Super-Resolution
177. NeurIPS 2025DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization
178. NeurIPS 2025DreamLight: Towards Harmonious and Consistent Image Relighting
179. NeurIPS 2025Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via $\textit{In-the-wild}$ Cascading Flow Optimization
180. NeurIPS 2025DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance
181. NeurIPS 2025Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions
182. NeurIPS 2025Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy
183. NeurIPS 2025Dynamic View Synthesis as an Inverse Problem
184. NeurIPS 2025DynaPhArM: Adaptive and Physics-Constrained Modeling for Target-Drug Complexes with Drug-Specific Adaptations
185. NeurIPS 2025EchoShot: Multi-Shot Portrait Video Generation
186. NeurIPS 2025EDELINE: Enhancing Memory in Diffusion-based World Models via Linear-Time Sequence Modeling
187. NeurIPS 2025Edit Flows: Variable Length Discrete Flow Matching with Sequence-Level Edit Operations
188. NeurIPS 2025EditInfinity: Image Editing with Binary-Quantized Generative Models
189. NeurIPS 2025Efficient Rectified Flow for Image Fusion
190. NeurIPS 2025Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics
191. NeurIPS 2025Emergence and Evolution of Interpretable Concepts in Diffusion Models
192. NeurIPS 2025Emergent Temporal Correspondences from Video Diffusion Transformers
193. NeurIPS 2025Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer
194. NeurIPS 2025Encoder-Decoder Diffusion Language Models for Efficient Training and Inference
195. NeurIPS 2025Energy Loss Functions for Physical Systems
196. NeurIPS 2025Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
197. NeurIPS 2025Energy-based generator matching: A neural sampler for general state space
198. NeurIPS 2025Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
199. NeurIPS 2025Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning
200. NeurIPS 2025ENMA: Tokenwise Autoregression for Continuous Neural PDE Operators

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.