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 7 of 15

301. ICML 2026iGRPO: Fast Online RL for Flow Matching Model with Instant Reward
302. ICML 2026Image Restoration via Diffusion Models with Dynamic Resolution
303. ICML 2026Image-to-Brain Signal Generation for Visual Prosthesis with CLIP Guided Multimodal Diffusion Models
304. ICML 2026Improving Backward Conformal Prediction via Non-Conformity Score Transformation
305. ICML 2026Improving Classifier-Free Guidance of Flow Matching via Manifold Projection
306. ICML 2026Improving Diffusion Planners by Self-Supervised Action Gating with Energies
307. ICML 2026Improving Sampling for Masked Diffusion Models via Information Gain
308. ICML 2026Incomplete Multi-View Clustering via Neighborhood-Conditioned Diffusion
309. ICML 2026Infinite Mask Diffusion for Few-Step Distillation
310. ICML 2026Infinite-Dimensional Generative Diffusions via Doob’s h-Transform
311. ICML 2026InfoDLM: an Information-Adaptive Framework for Discrete Diffusion Language Model Pretraining
312. ICML 2026Information dynamics and Memory in Neural Networks through Fisher Information Diffusion
313. ICML 2026Information-Geometric Adaptive Sampling for Graph Diffusion
314. ICML 2026Information-Theoretic Disentangled Latent Modeling with Conditional Diffusion for Incomplete Multi-View Clustering
315. ICML 2026InfVSR: Toward Consistency-Driven Streaming Generative Video Super-Resolution
316. ICML 2026Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior
317. ICML 2026Insertion Based Sequence Generation with Learnable Order Dynamics
318. ICML 2026Inverting Data Transformations via Diffusion Sampling
319. ICML 2026Is Your Diffusion Sampler Actually Correct? A Sampler-Centric Evaluation of Discrete Diffusion Language Models
320. ICML 2026JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
321. ICML 2026Joint Enhancement and Classification using Coupled Diffusion Models of Signals and Logits
322. ICML 2026Joint Geometric and Trajectory Consistency Learning for One-Step Real-World Super-Resolution
323. ICML 2026Just Y-Prediction: Enabling Historical Cumulative Inconsistency in Label Diffusion for Learning with Noisy Label
324. ICML 2026KineFlow: Kinematic Second-Order Flow Matching for Time-Series Forecasting
325. ICML 2026KIStego: Key-Independent Secure Image Distribution via Bipartite Structural Invariants
326. ICML 2026Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative Policies
327. ICML 2026Large-capacity and Receiver Authenticable Generative Image Steganography
328. ICML 2026Latent Diffusion Pretraining for Crystal Property Prediction
329. ICML 2026Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation
330. ICML 2026Latent Laplace Diffusion for Irregular Multivariate Time Series
331. ICML 2026Latent Spherical Flow Policy for Reinforcement Learning with Combinatorial Actions
332. ICML 2026LATO: 3D Mesh Flow Matching with Structured TOpology Preserving LAtents
333. ICML 2026LaTtE-Flow: Layerwise Timestep-Expert Flow-based Transformer
334. ICML 2026Lavida-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models
335. ICML 2026LayerT2V: A Unified Multi-Layer Video Generation Framework
336. ICML 2026LeakGFN: Robust Molecular Generation in Generative Flow Networks via Flow Decomposition
337. ICML 2026Learnability-Informed Fine-Tuning of Diffusion Language Models
338. ICML 2026LearniBridge: Learnable Calibration of Feature Caching for Diffusion Models Acceleration
339. ICML 2026Learning a Generative Meta-Model of LLM Activations
340. ICML 2026Learning Coupled Continuous-Time Latent Dynamics from Irregular Events
341. ICML 2026Learning Discrete Diffusion on Graphs via Free-Energy Gradient Flows
342. ICML 2026Learning Manifold Data with Flow Matching
343. ICML 2026Learning Normalized Energy Models for Linear Inverse Problems
344. ICML 2026Learning Permutation Distributions via Reflected Diffusion on Ranks
345. ICML 2026Learning Stochastic Bridges for Video Object Removal via Video-to-Video Translation
346. ICML 2026Learning to Refine: Spectral-Decoupled Iterative Refinement Framework for Precipitation Nowcasting
347. ICML 2026Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment
348. ICML 2026Learning Unmasking Policies for Diffusion Language Models
349. ICML 2026Let EEG Models Learn EEG
350. ICML 2026Letting Trajectories Spread: Quality-Preserving Control for Diverse Flow Matching

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.