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

728 papers, page 6 of 15

251. ICML 2026FRIGID: Scaling Diffusion-Based Molecular Generation from Mass Spectra at Training and Inference Time
252. ICML 2026From Bits to Rounds: Parallel Decoding with Exploration for Diffusion Language Models
253. ICML 2026From Denoising to De-Channeling: Integrating Physical Channel Priors into Diffusion Models for Radio Signal Understanding
254. ICML 2026From Inpainting to Editing: Unlocking Robust Mask-Free Visual Dubbing via Generative Bootstrapping
255. ICML 2026From Noise to Control: Parameterized Diffusion Policies
256. ICML 2026From Noise to Intent: Anchoring Generative VLA Policies with Residual Bridges
257. ICML 2026Fully Zero-Shot Image Dehazing
258. ICML 2026Functional Adjoint Sampler: Scalable Sampling on Infinite Dimensional Spaces
259. ICML 2026FUSE: FK-Steered Multi-Modal Flow Matching for Efficient Simulation-Based Posterior Estimation
260. ICML 2026GEM: Geometric Erasure by Contrastive Velocity Matching in Rectified Flows
261. ICML 2026GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance
262. ICML 2026General and Efficient Steering of Unconditional Diffusion Models
263. ICML 2026Generalization Bounds for Discrete Diffusion: Statistical Advantage of Masking
264. ICML 2026Generalized Discrete Diffusion with Self-Correction
265. ICML 2026Generalized Schrödinger Bridge on Graphs
266. ICML 2026Generative Adaptation of Dynamics to Environmental Shifts via Weight-space Diffusion
267. ICML 2026Generative Inverse Design with Abstention via Diagonal Flow Matching
268. ICML 2026Generative Large Neighborhood Search: Scalable Set Cover Optimization via Discrete Diffusion
269. ICML 2026Generative Modeling of Discrete Latent Structures via Dynamic Policy Gradients
270. ICML 2026Generative Neural Operators through Diffusion Last Layer
271. ICML 2026Generative Online Reinforcement Learning
272. ICML 2026Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion
273. ICML 2026GenUnfold: Rapidly Predict Protein Mechanical Unfolding Trajectory via a Physics-Guided Diffusion Model
274. ICML 2026Geodesic Flow Matching for Denoising High-Dimensional Structured Representations
275. ICML 2026GeoFlow: Geo-Aware Modeling of Inter-Area Relationships in Origin-Destination Flow Prediction and Generation
276. ICML 2026Geometric Decoupling: Diagnosing the Structural Instability of Latent
277. ICML 2026Geometry-Aware Dataset Condensation for Diffusion Model Training
278. ICML 2026Geometry-Aware Image Flow Matching
279. ICML 2026Geometry-Aware Tabular Diffusion
280. ICML 2026Geometry-Correct Diffusion Posterior Sampling with Denoiser-Pullback Curvature Guidance and Manifold-Aligned Damping
281. ICML 2026Geometry-Guided Generative Representation for Functional Brain Graphs
282. ICML 2026GEPC: Group-Equivariant Posterior Consistency for Out-of-Distribution Detection in Diffusion Models
283. ICML 2026GLAD: Bidirectional Structure-Attribute Alignment via Latent Graph Diffusion Models
284. ICML 2026GoodDiffusion: Proactive Copyright Protection for Diffusion Bridge Models via Learnable Sample-specific Signatures
285. ICML 2026Graph-GRPO: Training Graph Flow Models with Reinforcement Learning
286. ICML 2026Greedy Coordinate Diffusion: Effective and Semantically Coherent Adversarial Attacks via Diffusion Guidance
287. ICML 2026GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors
288. ICML 2026GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning
289. ICML 2026Guided Star-Shaped Masked Diffusion
290. ICML 2026GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance
291. ICML 2026Hard-Constrained Graph Generation with Discrete-Projection Diffusion
292. ICML 2026HDFlow: Hierarchical Diffusion-Flow Planning for Long-horizon Tasks
293. ICML 2026High-accuracy and dimension-free sampling with diffusions
294. ICML 2026High-Accuracy Sampling for Diffusion Models and Log-Concave Distributions
295. ICML 2026HilbertA: Hilbert-Curve–Aligned Sparse Attention for 2D Structured Data
296. ICML 2026History-Bootstrapped Flow Matching for Inverse Boiling Reconstruction
297. ICML 2026How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?
298. ICML 2026How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance
299. ICML 2026Identifying Connectivity Distributions from Neural Dynamics Using Flows
300. ICML 2026IDLM: Inverse-distilled Diffusion Language Models

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.