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 27 of 42

1301. ICML 2025S4S: Solving for a Fast Diffusion Model Solver
1302. ICML 2025SADA: Stability-guided Adaptive Diffusion Acceleration
1303. ICML 2025SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders
1304. ICML 2025SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation
1305. ICML 2025Sample-specific Noise Injection for Diffusion-based Adversarial Purification
1306. ICML 2025SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
1307. ICML 2025SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion
1308. ICML 2025Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching
1309. ICML 2025Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment
1310. ICML 2025Score as Action: Fine Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning
1311. ICML 2025Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
1312. ICML 2025Score-of-Mixture Training: One-Step Generative Model Training Made Simple via Score Estimation of Mixture Distributions
1313. ICML 2025SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
1314. ICML 2025SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning
1315. ICML 2025Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation
1316. ICML 2025Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency
1317. ICML 2025Sidechain conditioning and modeling for full-atom protein sequence design with FAMPNN
1318. ICML 2025Simple and Critical Iterative Denoising: A Recasting of Discrete Diffusion in Graph Generation
1319. ICML 2025Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
1320. ICML 2025SITCOM: Step-wise Triple-Consistent Diffusion Sampling For Inverse Problems
1321. ICML 2025SketchDNN: Joint Continuous-Discrete Diffusion for CAD Sketch Generation
1322. ICML 2025Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation
1323. ICML 2025Slimming the Fat-Tail: Morphing-Flow for Adaptive Time Series Modeling
1324. ICML 2025Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences
1325. ICML 2025Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo
1326. ICML 2025Sounding that Object: Interactive Object-Aware Image to Audio Generation
1327. ICML 2025Sparse Autoencoders, Again?
1328. ICML 2025Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity
1329. ICML 2025Spatial Reasoning with Denoising Models
1330. ICML 2025Spherical-Nested Diffusion Model for Panoramic Image Outpainting
1331. ICML 2025SSHR: More Secure Generative Steganography with High-Quality Revealed Secret Images
1332. ICML 2025STD-FD: Spatio-Temporal Distribution Fitting Deviation for AIGC Forgery Identification
1333. ICML 2025Stealix: Model Stealing via Prompt Evolution
1334. ICML 2025Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence
1335. ICML 2025Stochastic Deep Restoration Priors for Imaging Inverse Problems
1336. ICML 2025Stochastic Forward–Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets
1337. ICML 2025Stream-level Flow Matching with Gaussian Processes
1338. ICML 2025Sundial: A Family of Highly Capable Time Series Foundation Models
1339. ICML 2025Supercharging Graph Transformers with Advective Diffusion
1340. ICML 2025Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion
1341. ICML 2025TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data
1342. ICML 2025Taming Diffusion for Dataset Distillation with High Representativeness
1343. ICML 2025Taming Rectified Flow for Inversion and Editing
1344. ICML 2025Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
1345. ICML 2025Targeted Unlearning with Single Layer Unlearning Gradient
1346. ICML 2025Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner
1347. ICML 2025TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness
1348. ICML 2025TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching
1349. ICML 2025Temporal Difference Flows
1350. ICML 2025Test-Time Canonicalization by Foundation Models for Robust Perception

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.