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 4 of 7

151. NeurIPS 2023GlyphControl: Glyph Conditional Control for Visual Text Generation
152. NeurIPS 2023GMSF: Global Matching Scene Flow
153. NeurIPS 2023GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints
154. NeurIPS 2023Graph Denoising Diffusion for Inverse Protein Folding
155. NeurIPS 2023Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
156. NeurIPS 2023HeadSculpt: Crafting 3D Head Avatars with Text
157. NeurIPS 2023Hierarchical Integration Diffusion Model for Realistic Image Deblurring
158. NeurIPS 2023Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration
159. NeurIPS 2023ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation
160. NeurIPS 2023Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion
161. NeurIPS 2023Implicit Transfer Operator Learning: Multiple Time-Resolution Models for Molecular Dynamics
162. NeurIPS 2023IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI
163. NeurIPS 2023Improving Diffusion-Based Image Synthesis with Context Prediction
164. NeurIPS 2023In-Context Learning Unlocked for Diffusion Models
165. NeurIPS 2023Incomplete Multimodality-Diffused Emotion Recognition
166. NeurIPS 2023InsActor: Instruction-driven Physics-based Characters
167. NeurIPS 2023Inserting Anybody in Diffusion Models via Celeb Basis
168. NeurIPS 2023Intervention Generalization: A View from Factor Graph Models
169. NeurIPS 2023Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics
170. NeurIPS 2023Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
171. NeurIPS 2023Knowledge Diffusion for Distillation
172. NeurIPS 2023L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors
173. NeurIPS 2023Label-Only Model Inversion Attacks via Knowledge Transfer
174. NeurIPS 2023Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels
175. NeurIPS 2023LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
176. NeurIPS 2023Language-driven Scene Synthesis using Multi-conditional Diffusion Model
177. NeurIPS 2023Latent Diffusion for Language Generation
178. NeurIPS 2023Learning a 1-layer conditional generative model in total variation
179. NeurIPS 2023Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
180. NeurIPS 2023Learning Mixtures of Gaussians Using the DDPM Objective
181. NeurIPS 2023Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping
182. NeurIPS 2023Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis
183. NeurIPS 2023Likelihood-Based Diffusion Language Models
184. NeurIPS 2023Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment
185. NeurIPS 2023LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion
186. NeurIPS 2023Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos
187. NeurIPS 2023Lossy Image Compression with Conditional Diffusion Models
188. NeurIPS 2023MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing
189. NeurIPS 2023Markovian Sliced Wasserstein Distances: Beyond Independent Projections
190. NeurIPS 2023Metropolis Sampling for Constrained Diffusion Models
191. NeurIPS 2023Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation
192. NeurIPS 2023Mirror Diffusion Models for Constrained and Watermarked Generation
193. NeurIPS 2023Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
194. NeurIPS 2023Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
195. NeurIPS 2023Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion
196. NeurIPS 2023Moment Matching Denoising Gibbs Sampling
197. NeurIPS 2023MomentDiff: Generative Video Moment Retrieval from Random to Real
198. NeurIPS 2023Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture
199. NeurIPS 2023Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion
200. NeurIPS 2023Multi-scale Diffusion Denoised Smoothing

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.