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

1,471 papers, page 24 of 30

1151. NeurIPS 2024Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing
1152. NeurIPS 2024Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation
1153. NeurIPS 2024Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models
1154. NeurIPS 2024Face2QR: A Unified Framework for Aesthetic, Face-Preserving, and Scannable QR Code Generation
1155. NeurIPS 2024Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation
1156. NeurIPS 2024FashionR2R: Texture-preserving Rendered-to-Real Image Translation with Diffusion Models
1157. NeurIPS 2024Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
1158. NeurIPS 2024Fast samplers for Inverse Problems in Iterative Refinement models
1159. NeurIPS 2024Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time
1160. NeurIPS 2024Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
1161. NeurIPS 2024FastDrag: Manipulate Anything in One Step
1162. NeurIPS 2024Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference
1163. NeurIPS 2024Faster Local Solvers for Graph Diffusion Equations
1164. NeurIPS 2024FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
1165. NeurIPS 2024Few-Shot Diffusion Models Escape the Curse of Dimensionality
1166. NeurIPS 2024FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage Training
1167. NeurIPS 2024FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation
1168. NeurIPS 2024FIFO-Diffusion: Generating Infinite Videos from Text without Training
1169. NeurIPS 2024Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
1170. NeurIPS 2024Fisher Flow Matching for Generative Modeling over Discrete Data
1171. NeurIPS 2024FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models
1172. NeurIPS 2024FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling
1173. NeurIPS 2024Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
1174. NeurIPS 2024FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions
1175. NeurIPS 2024FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner
1176. NeurIPS 2024FouRA: Fourier Low-Rank Adaptation
1177. NeurIPS 2024FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention
1178. NeurIPS 2024Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching
1179. NeurIPS 2024From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models
1180. NeurIPS 2024Full-Atom Peptide Design with Geometric Latent Diffusion
1181. NeurIPS 2024FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images
1182. NeurIPS 2024General Articulated Objects Manipulation in Real Images via Part-Aware Diffusion Process
1183. NeurIPS 2024Generalized Protein Pocket Generation with Prior-Informed Flow Matching
1184. NeurIPS 2024Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization
1185. NeurIPS 2024Generating compositional scenes via Text-to-image RGBA Instance Generation
1186. NeurIPS 2024Generating Highly Designable Proteins with Geometric Algebra Flow Matching
1187. NeurIPS 2024Generative Fractional Diffusion Models
1188. NeurIPS 2024Generative Hierarchical Materials Search
1189. NeurIPS 2024Generative Modelling of Structurally Constrained Graphs
1190. NeurIPS 2024GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics
1191. NeurIPS 2024GenRec: Unifying Video Generation and Recognition with Diffusion Models
1192. NeurIPS 2024GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping
1193. NeurIPS 2024Geometric Trajectory Diffusion Models
1194. NeurIPS 2024Gradient Guidance for Diffusion Models: An Optimization Perspective
1195. NeurIPS 2024Gradient-free Decoder Inversion in Latent Diffusion Models
1196. NeurIPS 2024Graph Diffusion Policy Optimization
1197. NeurIPS 2024Graph Diffusion Transformers for Multi-Conditional Molecular Generation
1198. NeurIPS 2024GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation
1199. NeurIPS 2024Group and Shuffle: Efficient Structured Orthogonal Parametrization
1200. NeurIPS 2024GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning

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.