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

1,378 papers, page 25 of 28

1201. ICML 2024Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
1202. ICML 2024Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
1203. ICML 2024Non-confusing Generation of Customized Concepts in Diffusion Models
1204. ICML 2024On Discrete Prompt Optimization for Diffusion Models
1205. ICML 2024On the Trajectory Regularity of ODE-based Diffusion Sampling
1206. ICML 2024Online bipartite matching with imperfect advice
1207. ICML 2024Particle Denoising Diffusion Sampler
1208. ICML 2024PID: Prompt-Independent Data Protection Against Latent Diffusion Models
1209. ICML 2024Plug-and-Play image restoration with Stochastic deNOising REgularization
1210. ICML 2024Position: Compositional Generative Modeling: A Single Model is Not All You Need
1211. ICML 2024Potential Based Diffusion Motion Planning
1212. ICML 2024PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching
1213. ICML 2024Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model
1214. ICML 2024Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines
1215. ICML 2024Prompt-guided Precise Audio Editing with Diffusion Models
1216. ICML 2024Prompt-tuning Latent Diffusion Models for Inverse Problems
1217. ICML 2024Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
1218. ICML 2024Protein Conformation Generation via Force-Guided SE(3) Diffusion Models
1219. ICML 2024Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
1220. ICML 2024Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge
1221. ICML 2024ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence Estimation
1222. ICML 2024Reflected Flow Matching
1223. ICML 2024Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree
1224. ICML 2024Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion
1225. ICML 2024Retrieval-Augmented Score Distillation for Text-to-3D Generation
1226. ICML 2024Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
1227. ICML 2024Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models
1228. ICML 2024RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching
1229. ICML 2024Robust Classification via a Single Diffusion Model
1230. ICML 2024Robust Inverse Graphics via Probabilistic Inference
1231. ICML 2024Rolling Diffusion Models
1232. ICML 2024S$\Omega$I: Score-based O-INFORMATION Estimation
1233. ICML 2024Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models
1234. ICML 2024Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers
1235. ICML 2024Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
1236. ICML 2024Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
1237. ICML 2024Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
1238. ICML 2024SCoRe: Submodular Combinatorial Representation Learning
1239. ICML 2024Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
1240. ICML 2024Sliced Wasserstein with Random-Path Projecting Directions
1241. ICML 2024Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal Slices
1242. ICML 2024SMaRt: Improving GANs with Score Matching Regularity
1243. ICML 2024Sobolev Space Regularised Pre Density Models
1244. ICML 2024Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
1245. ICML 2024Speech Self-Supervised Learning Using Diffusion Model Synthetic Data
1246. ICML 2024Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
1247. ICML 2024Stereo Risk: A Continuous Modeling Approach to Stereo Matching
1248. ICML 2024Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis
1249. ICML 2024Subgoal-based Demonstration Learning for Formal Theorem Proving
1250. ICML 2024Swallowing the Bitter Pill: Simplified Scalable Conformer Generation

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.