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

2,202 papers, page 6 of 45

251. NeurIPS 2026ForesightFlow: Self-Guided Flow Matching for Improving Vision-Language-Action Models
252. NeurIPS 2026Free Decompression with Algebraic Spectral Curves
253. NeurIPS 2026Free Draft-and-Verification: Toward Lossless Parallel Decoding for Diffusion Large Language Models
254. NeurIPS 2026FreeOcc: Decoupling Ego-Motion for Efficient 4D Occupancy Forecasting via Continuous Flow Matching
255. NeurIPS 2026FreqCa: Accelerating Image generation and editing via Frequency-Aware Caching
256. NeurIPS 2026Frequency‑Aware Flow Matching for Continuous and Consistent Robotic Action Generation
257. NeurIPS 2026From Denoising to Refining: A Corrective Framework for Vision-Language Diffusion Model
258. NeurIPS 2026From Generation to Restoration: Residual Diffusion for Neural Channel Decoding
259. NeurIPS 2026From Next-Token to Next-Block: A Principled Adaptation Path for Diffusion LLMs
260. NeurIPS 2026From Static Geometry to Dynamical Singularity: Detecting Memorization in Diffusion Models via Score Evolution
261. NeurIPS 2026Full-Atom Cyclic Peptide Design via Test-Time Scaled Autoregressive Flow Matching
262. NeurIPS 2026Full-Sequence Masked Diffusion for Generative Recommendation
263. NeurIPS 2026GARDO: Reinforcing Diffusion Models without Reward Hacking
264. NeurIPS 2026GazeFlow: From Human Gaze Behavior to Generative Egocentric Gaze Prediction
265. NeurIPS 2026GCD: GCM-consistent Diffusion for Zero-shot Downscaling across Heterogeneous GCMs
266. NeurIPS 2026Generalization Dynamics of Linear Diffusion Models
267. NeurIPS 2026Generalized Wasserstein Flow Matching: Transport Plans, Everywhere, All at Once
268. NeurIPS 2026Generating Financial Time Series by Matching Random Convolutional Features
269. NeurIPS 2026Generating Physically Consistent Molecules with Energy-Based Models
270. NeurIPS 2026Generative Active Learning via Bayesian Acquisition for Improving the Efficiency of Synthetic Data
271. NeurIPS 2026Generative Actor-Critic with Soft Bridge Policies
272. NeurIPS 2026Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control
273. NeurIPS 2026Generative Modeling under Non-Monotone MAR Missingness via Approximate Wasserstein Gradient Flows
274. NeurIPS 2026Generative Modeling via Drifting
275. NeurIPS 2026GenRec: Knowing Where to Reconstruct and Where to Generate
276. NeurIPS 2026GeoMemory: Geometry-Indexed Memory for Long-Horizon Interactive Video Generation
277. NeurIPS 2026Geometric Velocity Regularity for Flow Matching on Manifold-Concentrated Data
278. NeurIPS 2026Geometry over Density: Few-Shot Cross-Domain OOD Detection
279. NeurIPS 2026Geometry-Aware Similarity Metrics for Neural Representations on Riemannian and Statistical Manifolds
280. NeurIPS 2026GEOPHYS: The Geometry of Physical Plausibility
281. NeurIPS 2026GeoSPRINT: Geometric Redundancy-Aware Step Pruning for Inference in Diffusion Trajectories
282. NeurIPS 2026gfnx: Fast and Scalable Library for Generative Flow Networks in JAX
283. NeurIPS 2026Global Context Guidance for Diffusion Large Language Models
284. NeurIPS 2026GlycoGen: Crystallizing Flows for De Novo Glycan Structure Prediction
285. NeurIPS 2026GOLD: Geometric Optimized Latent Diffusion for Structure-Aware RNA Inverse Folding
286. NeurIPS 2026GOLIATH: Gradient Inversion of Tabular Diffusion Models
287. NeurIPS 2026GraDE: A Graph Diffusion Estimator for Frequent Subgraph Discovery in Neural Architectures
288. NeurIPS 2026Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation
289. NeurIPS 2026GRASP: Guided Residual Adapters with Sample-wise Partitioning
290. NeurIPS 2026Grounded-Exo2Ego: Structured Semantic Grounding for Robust Exocentric-to-Egocentric Video Generation
291. NeurIPS 2026Guiding Visual Autoregressive Models through Spectrum Weakening
292. NeurIPS 2026GWScore: A structural diversity metric for consistent text-to-image generation
293. NeurIPS 2026Harmonic Torsional Diffusion for Flexible Protein-Ligand Docking
294. NeurIPS 2026Harnessing Image Diffusion Prior for Photo-Realistic Video Restoration
295. NeurIPS 2026Heavy-Tailed Flow Matching via Random Clocks
296. NeurIPS 2026HELICS: Biobank-scale Conditional Synthetic Genome Generation via Latent Flow Matching
297. NeurIPS 2026Hierarchical Variational Policies for Reward-Guided Diffusion
298. NeurIPS 2026HilbertGen-3D:Hilbert--Multifractal Conditioning for Topology-Aware 3D Generation
299. NeurIPS 2026Holo4D: Holistic 4D Reconstruction as Geometric Control for Video Diffusion
300. NeurIPS 2026Horizontal Diffusion Models: Score-based Generative Modeling on Frame-Connection Geometry

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.