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 27 of 28

1301. ICML 2023Dirichlet Diffusion Score Model for Biological Sequence Generation
1302. ICML 2023Distributional Offline Policy Evaluation with Predictive Error Guarantees
1303. ICML 2023Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation
1304. ICML 2023Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
1305. ICML 2023Explaining the effects of non-convergent MCMC in the training of Energy-Based Models
1306. ICML 2023Exploiting locality in high-dimensional Factorial hidden Markov models
1307. ICML 2023Fast Sampling of Diffusion Models via Operator Learning
1308. ICML 2023FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation
1309. ICML 2023Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds
1310. ICML 2023Geometric Latent Diffusion Models for 3D Molecule Generation
1311. ICML 2023GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
1312. ICML 2023Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond
1313. ICML 2023Graphically Structured Diffusion Models
1314. ICML 2023GREAD: Graph Neural Reaction-Diffusion Networks
1315. ICML 2023Hierarchical Diffusion for Offline Decision Making
1316. ICML 2023How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control
1317. ICML 2023Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
1318. ICML 2023I$^2$SB: Image-to-Image Schrödinger Bridge
1319. ICML 2023Image generation with shortest path diffusion
1320. ICML 2023Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions
1321. ICML 2023Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
1322. ICML 2023Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process
1323. ICML 2023InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
1324. ICML 2023Input Perturbation Reduces Exposure Bias in Diffusion Models
1325. ICML 2023KDEformer: Accelerating Transformers via Kernel Density Estimation
1326. ICML 2023Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling
1327. ICML 2023Long Horizon Temperature Scaling
1328. ICML 2023Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation
1329. ICML 2023Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models
1330. ICML 2023MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL
1331. ICML 2023Minimizing Trajectory Curvature of ODE-based Generative Models
1332. ICML 2023Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion
1333. ICML 2023MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
1334. ICML 2023MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
1335. ICML 2023Multisample Flow Matching: Straightening Flows with Minibatch Couplings
1336. ICML 2023NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
1337. ICML 2023Neural Diffusion Processes
1338. ICML 2023Non-autoregressive Conditional Diffusion Models for Time Series Prediction
1339. ICML 2023Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows
1340. ICML 2023OCD: Learning to Overfit with Conditional Diffusion Models
1341. ICML 2023OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
1342. ICML 2023On Investigating the Conservative Property of Score-Based Generative Models
1343. ICML 2023On the Convergence of Gradient Flow on Multi-layer Linear Models
1344. ICML 2023One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
1345. ICML 2023Optimizing DDPM Sampling with Shortcut Fine-Tuning
1346. ICML 2023PAC-Bayesian Generalization Bounds for Adversarial Generative Models
1347. ICML 2023PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
1348. ICML 2023PixelAsParam: A Gradient View on Diffusion Sampling with Guidance
1349. ICML 2023PLay: Parametrically Conditioned Layout Generation using Latent Diffusion
1350. ICML 2023Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows

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.