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

195 papers, page 4 of 4

151. ICML 2024Retrieval-Augmented Score Distillation for Text-to-3D Generation
152. ICML 2024Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
153. ICML 2024Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models
154. ICML 2024RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching
155. ICML 2024Robust Classification via a Single Diffusion Model
156. ICML 2024Robust Inverse Graphics via Probabilistic Inference
157. ICML 2024Rolling Diffusion Models
158. ICML 2024S$\Omega$I: Score-based O-INFORMATION Estimation
159. ICML 2024Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models
160. ICML 2024Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers
161. ICML 2024Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
162. ICML 2024Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
163. ICML 2024Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
164. ICML 2024SCoRe: Submodular Combinatorial Representation Learning
165. ICML 2024Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
166. ICML 2024Sliced Wasserstein with Random-Path Projecting Directions
167. ICML 2024Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal Slices
168. ICML 2024SMaRt: Improving GANs with Score Matching Regularity
169. ICML 2024Sobolev Space Regularised Pre Density Models
170. ICML 2024Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
171. ICML 2024Speech Self-Supervised Learning Using Diffusion Model Synthetic Data
172. ICML 2024Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
173. ICML 2024Stereo Risk: A Continuous Modeling Approach to Stereo Matching
174. ICML 2024Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis
175. ICML 2024Subgoal-based Demonstration Learning for Formal Theorem Proving
176. ICML 2024Swallowing the Bitter Pill: Simplified Scalable Conformer Generation
177. ICML 2024Switched Flow Matching: Eliminating Singularities via Switching ODEs
178. ICML 2024Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion
179. ICML 2024TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors
180. ICML 2024Test-Time Degradation Adaptation for Open-Set Image Restoration
181. ICML 2024The Emergence of Reproducibility and Consistency in Diffusion Models
182. ICML 2024The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline
183. ICML 2024The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
184. ICML 2024Theoretical insights for diffusion guidance: A case study for Gaussian mixture models
185. ICML 2024Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling
186. ICML 2024Time Series Diffusion in the Frequency Domain
187. ICML 2024Towards Neural Architecture Search through Hierarchical Generative Modeling
188. ICML 2024Towards Theoretical Understandings of Self-Consuming Generative Models
189. ICML 2024Understanding Diffusion Models by Feynman's Path Integral
190. ICML 2024Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding
191. ICML 2024Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations
192. ICML 2024Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection
193. ICML 2024Variational Schrödinger Diffusion Models
194. ICML 2024What’s the score? Automated Denoising Score Matching for Nonlinear Diffusions
195. ICML 2024Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion

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.