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

86 papers, page 1 of 2

1. ICLR 2023(Certified!!) Adversarial Robustness for Free!
2. ICLR 20233D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction
3. ICLR 2023Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
4. ICLR 2023Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
5. ICLR 2023Blurring Diffusion Models
6. ICLR 2023Building Normalizing Flows with Stochastic Interpolants
7. ICLR 2023CFlowNets: Continuous Control with Generative Flow Networks
8. ICLR 2023ChiroDiff: Modelling chirographic data with Diffusion Models
9. ICLR 2023Data Valuation Without Training of a Model
10. ICLR 2023DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
11. ICLR 2023Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models
12. ICLR 2023Defending against Adversarial Audio via Diffusion Model
13. ICLR 2023Denoising Diffusion Error Correction Codes
14. ICLR 2023Denoising Diffusion Samplers
15. ICLR 2023DensePure: Understanding Diffusion Models for Adversarial Robustness
16. ICLR 2023DFPC: Data flow driven pruning of coupled channels without data.
17. ICLR 2023DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
18. ICLR 2023DiffEdit: Diffusion-based semantic image editing with mask guidance
19. ICLR 2023Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models
20. ICLR 2023DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
21. ICLR 2023DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
22. ICLR 2023DiffusER: Diffusion via Edit-based Reconstruction
23. ICLR 2023Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation
24. ICLR 2023Diffusion Models Already Have A Semantic Latent Space
25. ICLR 2023Diffusion Models for Causal Discovery via Topological Ordering
26. ICLR 2023Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning
27. ICLR 2023Diffusion Posterior Sampling for General Noisy Inverse Problems
28. ICLR 2023Diffusion Probabilistic Fields
29. ICLR 2023Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem
30. ICLR 2023Diffusion-based Image Translation using disentangled style and content representation
31. ICLR 2023Diffusion-GAN: Training GANs with Diffusion
32. ICLR 2023DiGress: Discrete Denoising diffusion for graph generation
33. ICLR 2023Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation
34. ICLR 2023Discrete Predictor-Corrector Diffusion Models for Image Synthesis
35. ICLR 2023Distilling Model Failures as Directions in Latent Space
36. ICLR 2023DreamFusion: Text-to-3D using 2D Diffusion
37. ICLR 2023Dual Diffusion Implicit Bridges for Image-to-Image Translation
38. ICLR 2023Equivariant Energy-Guided SDE for Inverse Molecular Design
39. ICLR 2023Equivariant Hypergraph Diffusion Neural Operators
40. ICLR 2023f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
41. ICLR 2023Fast Sampling of Diffusion Models with Exponential Integrator
42. ICLR 2023Flow Annealed Importance Sampling Bootstrap
43. ICLR 2023Flow Matching for Generative Modeling
44. ICLR 2023Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
45. ICLR 2023gDDIM: Generalized denoising diffusion implicit models
46. ICLR 2023Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks
47. ICLR 2023Generative Modeling Helps Weak Supervision (and Vice Versa)
48. ICLR 2023Generative Modelling with Inverse Heat Dissipation
49. ICLR 2023Hierarchical Sliced Wasserstein Distance
50. ICLR 2023Human Motion Diffusion Model

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.