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 24 of 28

1151. ICML 2024Feedback Efficient Online Fine-Tuning of Diffusion Models
1152. ICML 2024FiT: Flexible Vision Transformer for Diffusion Model
1153. ICML 2024Floating Anchor Diffusion Model for Multi-motif Scaffolding
1154. ICML 2024FlowMM: Generating Materials with Riemannian Flow Matching
1155. ICML 2024FRAG: Frequency Adapting Group for Diffusion Video Editing
1156. ICML 2024From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
1157. ICML 2024Full-Atom Peptide Design based on Multi-modal Flow Matching
1158. ICML 2024Generative Conditional Distributions by Neural (Entropic) Optimal Transport
1159. ICML 2024Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
1160. ICML 2024Generative Marginalization Models
1161. ICML 2024Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes
1162. ICML 2024GiLOT: Interpreting Generative Language Models via Optimal Transport
1163. ICML 2024Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
1164. ICML 2024Graph Adversarial Diffusion Convolution
1165. ICML 2024Graph Generation with Diffusion Mixture
1166. ICML 2024Guidance with Spherical Gaussian Constraint for Conditional Diffusion
1167. ICML 2024Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design
1168. ICML 2024How to Trace Latent Generative Model Generated Images without Artificial Watermark?
1169. ICML 2024Hyperbolic Geometric Latent Diffusion Model for Graph Generation
1170. ICML 2024Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge
1171. ICML 2024Imitation Learning from Purified Demonstrations
1172. ICML 2024Improving Adversarial Energy-Based Model via Diffusion Process
1173. ICML 2024Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
1174. ICML 2024Interacting Diffusion Processes for Event Sequence Forecasting
1175. ICML 2024Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation
1176. ICML 2024Interpreting and Improving Diffusion Models from an Optimization Perspective
1177. ICML 2024Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
1178. ICML 2024Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
1179. ICML 2024Iterative Search Attribution for Deep Neural Networks
1180. ICML 2024Learning a Diffusion Model Policy from Rewards via Q-Score Matching
1181. ICML 2024Learning Divergence Fields for Shift-Robust Graph Representations
1182. ICML 2024Learning Iterative Reasoning through Energy Diffusion
1183. ICML 2024Learning Latent Space Hierarchical EBM Diffusion Models
1184. ICML 2024Learning to Reach Goals via Diffusion
1185. ICML 2024Light and Optimal Schrödinger Bridge Matching
1186. ICML 2024Listening to the noise: Blind Denoising with Gibbs Diffusion
1187. ICML 2024MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
1188. ICML 2024Make-A-Shape: a Ten-Million-scale 3D Shape Model
1189. ICML 2024Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
1190. ICML 2024Mean-field Chaos Diffusion Models
1191. ICML 2024Membership Inference Attacks on Diffusion Models via Quantile Regression
1192. ICML 2024Mimicking Better by Matching the Approximate Action Distribution
1193. ICML 2024Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions
1194. ICML 2024MoMo: Momentum Models for Adaptive Learning Rates
1195. ICML 2024MS$^3$D: A RG Flow-Based Regularization for GAN Training with Limited Data
1196. ICML 2024MusicFlow: Cascaded Flow Matching for Text Guided Music Generation
1197. ICML 2024NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
1198. ICML 2024Nearest Neighbour Score Estimators for Diffusion Generative Models
1199. ICML 2024Neural Diffusion Models
1200. ICML 2024Neural Jump-Diffusion Temporal Point Processes

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.