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 26 of 28

1251. ICML 2024Switched Flow Matching: Eliminating Singularities via Switching ODEs
1252. ICML 2024Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion
1253. ICML 2024TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors
1254. ICML 2024Test-Time Degradation Adaptation for Open-Set Image Restoration
1255. ICML 2024The Emergence of Reproducibility and Consistency in Diffusion Models
1256. ICML 2024The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline
1257. ICML 2024The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
1258. ICML 2024Theoretical insights for diffusion guidance: A case study for Gaussian mixture models
1259. ICML 2024Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling
1260. ICML 2024Time Series Diffusion in the Frequency Domain
1261. ICML 2024Towards Neural Architecture Search through Hierarchical Generative Modeling
1262. ICML 2024Towards Theoretical Understandings of Self-Consuming Generative Models
1263. ICML 2024Understanding Diffusion Models by Feynman's Path Integral
1264. ICML 2024Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding
1265. ICML 2024Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations
1266. ICML 2024Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection
1267. ICML 2024Variational Schrödinger Diffusion Models
1268. ICML 2024What’s the score? Automated Denoising Score Matching for Nonlinear Diffusions
1269. ICML 2024Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion
1270. ICML 2023A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
1271. ICML 2023A Flexible Diffusion Model
1272. ICML 2023A Statistical Perspective on Retrieval-Based Models
1273. ICML 2023A theory of continuous generative flow networks
1274. ICML 2023AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
1275. ICML 2023Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
1276. ICML 2023Analyzing Diffusion as Serial Reproduction
1277. ICML 2023Are Diffusion Models Vulnerable to Membership Inference Attacks?
1278. ICML 2023Attributing Image Generative Models using Latent Fingerprints
1279. ICML 2023AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
1280. ICML 2023Autoregressive Diffusion Model for Graph Generation
1281. ICML 2023Better Diffusion Models Further Improve Adversarial Training
1282. ICML 2023Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
1283. ICML 2023Causal Proxy Models for Concept-based Model Explanations
1284. ICML 2023Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
1285. ICML 2023CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis
1286. ICML 2023COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models
1287. ICML 2023Composer: Creative and Controllable Image Synthesis with Composable Conditions
1288. ICML 2023Compositional Score Modeling for Simulation-Based Inference
1289. ICML 2023Conditionally Strongly Log-Concave Generative Models
1290. ICML 2023Cones: Concept Neurons in Diffusion Models for Customized Generation
1291. ICML 2023Consistency Models
1292. ICML 2023Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning
1293. ICML 2023DDGR: Continual Learning with Deep Diffusion-based Generative Replay
1294. ICML 2023DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
1295. ICML 2023Denoising MCMC for Accelerating Diffusion-Based Generative Models
1296. ICML 2023Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score
1297. ICML 2023Diffusion Based Representation Learning
1298. ICML 2023Diffusion Models are Minimax Optimal Distribution Estimators
1299. ICML 2023Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
1300. ICML 2023Diffusion Models for Black-Box Optimization

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.