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

2,690 papers, page 46 of 54

2251. NeurIPS 2026Few-Step Cofolding with All-Atom Flow Maps
2252. NeurIPS 2026Few-Step Diffusion Language Models via Trajectory Self-Distillation
2253. NeurIPS 2026Fixed-Point Masked Generative Modeling
2254. NeurIPS 2026FLASH: Efficient Visuomotor Policy via Sparse Sampling
2255. NeurIPS 2026FlashControl: One-Step Controllable Generator via Distillation-Friendly Single-Stream Teachers.
2256. NeurIPS 2026FlashPlanner: Real-Time Goal-Conditioned Flow-Matching Planning for Autonomous Driving with Online RL Fine-Tuning
2257. NeurIPS 2026Flexible Flows for Biological Sequence Design
2258. NeurIPS 2026Flow Map Denoisers: Traversing the Distortion-Perception Plane for Inverse Problems
2259. NeurIPS 2026Flow Matching for Offline Reinforcement Learning with Discrete Actions
2260. NeurIPS 2026Flow Matching from Viewpoint of Proximal Operators
2261. NeurIPS 2026Flow Matching Policy Optimization with Mirror Descent and Entropy Constraints
2262. NeurIPS 2026Flow Matching Reinforcement Learning via SDE Inference
2263. NeurIPS 2026Flow Matching with In-Context Priors for Out-of-Distribution Brain Dynamics
2264. NeurIPS 2026Flow Mismatching: Unsupervised Anomaly Detection via Velocity Discrepancies in Flow Matching Models
2265. NeurIPS 2026Flow-Corrected Shape Optimization: Taming Manifold Drift in High-Dimensional 3D Models
2266. NeurIPS 2026Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field
2267. NeurIPS 2026Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models
2268. NeurIPS 2026Flow-Guided Target-Space Alignment via Path Consistency
2269. NeurIPS 2026Flow+Diff: Unifying Flow and Diffusion Representations for Multivariate Time Series Anomaly Detection
2270. NeurIPS 2026FlowBatt: Flow Matching for Probabilistic Battery Degradation Prediction
2271. NeurIPS 2026Flowette: Flow Matching with Graphette Priors for Graph Generation
2272. NeurIPS 2026FLUX: Geometry-Aware Longitudinal Flow Matching with Mixture of Experts
2273. NeurIPS 2026FluxFlow: Conservative Flow-Matching for Astronomical Image Super-Resolution
2274. NeurIPS 2026FluxLite: Inference-Time Proposal Control for Discrete Diffusion Models
2275. NeurIPS 2026FMMI: Flow Matching Mutual Information Estimation
2276. NeurIPS 2026Focused Forcing: Content-Aware Per-Frame KV Selection for Efficient Autoregressive Video Diffusion
2277. NeurIPS 2026Follow the Mean: Reference-Guided Flow Matching
2278. NeurIPS 2026FoMo: Forking Moment in Generative Trajectory as a Perceptual Distance
2279. NeurIPS 2026ForceFlow: Learning to Feel and Act via Contact-Driven Flow Matching
2280. NeurIPS 2026ForesightFlow: Self-Guided Flow Matching for Improving Vision-Language-Action Models
2281. NeurIPS 2026Free Decompression with Algebraic Spectral Curves
2282. NeurIPS 2026Free Draft-and-Verification: Toward Lossless Parallel Decoding for Diffusion Large Language Models
2283. NeurIPS 2026FreeOcc: Decoupling Ego-Motion for Efficient 4D Occupancy Forecasting via Continuous Flow Matching
2284. NeurIPS 2026FreqCa: Accelerating Image generation and editing via Frequency-Aware Caching
2285. NeurIPS 2026Frequency‑Aware Flow Matching for Continuous and Consistent Robotic Action Generation
2286. NeurIPS 2026From Denoising to Refining: A Corrective Framework for Vision-Language Diffusion Model
2287. NeurIPS 2026From Generation to Restoration: Residual Diffusion for Neural Channel Decoding
2288. NeurIPS 2026From Next-Token to Next-Block: A Principled Adaptation Path for Diffusion LLMs
2289. NeurIPS 2026From Static Geometry to Dynamical Singularity: Detecting Memorization in Diffusion Models via Score Evolution
2290. NeurIPS 2026Full-Atom Cyclic Peptide Design via Test-Time Scaled Autoregressive Flow Matching
2291. NeurIPS 2026Full-Sequence Masked Diffusion for Generative Recommendation
2292. NeurIPS 2026GARDO: Reinforcing Diffusion Models without Reward Hacking
2293. NeurIPS 2026GazeFlow: From Human Gaze Behavior to Generative Egocentric Gaze Prediction
2294. NeurIPS 2026GCD: GCM-consistent Diffusion for Zero-shot Downscaling across Heterogeneous GCMs
2295. NeurIPS 2026Generalization Dynamics of Linear Diffusion Models
2296. NeurIPS 2026Generalized Wasserstein Flow Matching: Transport Plans, Everywhere, All at Once
2297. NeurIPS 2026Generating Financial Time Series by Matching Random Convolutional Features
2298. NeurIPS 2026Generating Physically Consistent Molecules with Energy-Based Models
2299. NeurIPS 2026Generative Active Learning via Bayesian Acquisition for Improving the Efficiency of Synthetic Data
2300. NeurIPS 2026Generative Actor-Critic with Soft Bridge Policies

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.