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

327 papers, page 5 of 7

201. NeurIPS 2023MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation
202. NeurIPS 2023MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion
203. NeurIPS 2023NAP: Neural 3D Articulated Object Prior
204. NeurIPS 2023Neural Sampling in Hierarchical Exponential-family Energy-based Models
205. NeurIPS 2023Norm-guided latent space exploration for text-to-image generation
206. NeurIPS 2023Normalizing flow neural networks by JKO scheme
207. NeurIPS 2023OBJECT 3DIT: Language-guided 3D-aware Image Editing
208. NeurIPS 2023Object-Centric Slot Diffusion
209. NeurIPS 2023On Calibrating Diffusion Probabilistic Models
210. NeurIPS 2023On Measuring Fairness in Generative Models
211. NeurIPS 2023On the Constrained Time-Series Generation Problem
212. NeurIPS 2023On the Generalization Properties of Diffusion Models
213. NeurIPS 2023One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization
214. NeurIPS 2023One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
215. NeurIPS 2023One-Step Diffusion Distillation via Deep Equilibrium Models
216. NeurIPS 2023Optimal Preconditioning and Fisher Adaptive Langevin Sampling
217. NeurIPS 2023Optimal Transport-Guided Conditional Score-Based Diffusion Model
218. NeurIPS 2023P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting
219. NeurIPS 2023PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation
220. NeurIPS 2023Parallel Sampling of Diffusion Models
221. NeurIPS 2023Particle-based Variational Inference with Generalized Wasserstein Gradient Flow
222. NeurIPS 2023Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
223. NeurIPS 2023PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
224. NeurIPS 2023PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation
225. NeurIPS 2023Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability
226. NeurIPS 2023PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
227. NeurIPS 2023PHOTOSWAP: Personalized Subject Swapping in Images
228. NeurIPS 2023PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model
229. NeurIPS 2023Point Cloud Completion with Pretrained Text-to-Image Diffusion Models
230. NeurIPS 2023PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models
231. NeurIPS 2023Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
232. NeurIPS 2023Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
233. NeurIPS 2023Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows
234. NeurIPS 2023Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting
235. NeurIPS 2023Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model
236. NeurIPS 2023PreDiff: Precipitation Nowcasting with Latent Diffusion Models
237. NeurIPS 2023PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation
238. NeurIPS 2023Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models
239. NeurIPS 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
240. NeurIPS 2023Protein Design with Guided Discrete Diffusion
241. NeurIPS 2023ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
242. NeurIPS 2023Provable benefits of score matching
243. NeurIPS 2023Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior
244. NeurIPS 2023PTQD: Accurate Post-Training Quantization for Diffusion Models
245. NeurIPS 2023Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion
246. NeurIPS 2023Puzzlefusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving
247. NeurIPS 2023Q-DM: An Efficient Low-bit Quantized Diffusion Model
248. NeurIPS 2023RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
249. NeurIPS 2023Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals
250. NeurIPS 2023Real-World Image Variation by Aligning Diffusion Inversion Chain

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.