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

2,078 papers, page 28 of 42

1351. ICML 2025The Diffusion Duality
1352. ICML 2025The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction
1353. ICML 2025Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos
1354. ICML 2025TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
1355. ICML 2025TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision
1356. ICML 2025ToMA: Token Merge with Attention for Diffusion Models
1357. ICML 2025Towards a Mechanistic Explanation of Diffusion Model Generalization
1358. ICML 2025Towards Black-Box Membership Inference Attack for Diffusion Models
1359. ICML 2025Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions
1360. ICML 2025Training Diffusion-based Generative Models with Limited Data
1361. ICML 2025TruthFlow: Truthful LLM Generation via Representation Flow Correction
1362. ICML 2025Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion
1363. ICML 2025Ultra-Resolution Adaptation with Ease
1364. ICML 2025Understanding and Mitigating Memorization in Diffusion Models for Tabular Data
1365. ICML 2025Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes
1366. ICML 2025UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control
1367. ICML 2025UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation
1368. ICML 2025UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design
1369. ICML 2025Unsupervised Learning for Class Distribution Mismatch
1370. ICML 2025Upcycling Text-to-Image Diffusion Models for Multi-Task Capabilities
1371. ICML 2025Variance as a Catalyst: Efficient and Transferable Semantic Erasure Adversarial Attack for Customized Diffusion Models
1372. ICML 2025Variational Control for Guidance in Diffusion Models
1373. ICML 2025Variational Rectified Flow Matching
1374. ICML 2025VCT: Training Consistency Models with Variational Noise Coupling
1375. ICML 2025VerbalTS: Generating Time Series from Texts
1376. ICML 2025Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations
1377. ICML 2025VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
1378. ICML 2025Wasserstein Flow Matching: Generative Modeling Over Families of Distributions
1379. ICML 2025When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets
1380. ICML 2025When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class
1381. ICML 2025WMAdapter: Adding WaterMark Control to Latent Diffusion Models
1382. ICML 2025WyckoffDiff -- A Generative Diffusion Model for Crystal Symmetry
1383. ICML 2025Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models
1384. ICML 2025Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints
1385. NeurIPS 2025$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
1386. NeurIPS 202570% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float (DFloat11)
1387. NeurIPS 2025A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective
1388. NeurIPS 2025A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors
1389. NeurIPS 2025A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking
1390. NeurIPS 2025A Few Moments Please: Scalable Graphon Learning via Moment Matching
1391. NeurIPS 2025A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models
1392. NeurIPS 2025A Gradient Guidance Perspective on Stepwise Preference Optimization for Diffusion Models
1393. NeurIPS 2025A Gradient Guided Diffusion Framework for Chance Constrained Programming
1394. NeurIPS 2025A Practical Guide for Incorporating Symmetry in Diffusion Policy
1395. NeurIPS 2025A solvable model of learning generative diffusion: theory and insights
1396. NeurIPS 2025A Technical Report on “Erasing the Invisible”: The 2024 NeurIPS Competition on Stress Testing Image Watermarks
1397. NeurIPS 2025Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models
1398. NeurIPS 2025AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation
1399. NeurIPS 2025Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking
1400. NeurIPS 2025Accelerating Diffusion LLMs via Adaptive Parallel Decoding

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.