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

327 papers, page 6 of 7

251. NeurIPS 2023Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
252. NeurIPS 2023Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans
253. NeurIPS 2023Regret Matching+: (In)Stability and Fast Convergence in Games
254. NeurIPS 2023Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification
255. NeurIPS 2023ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
256. NeurIPS 2023Restart Sampling for Improving Generative Processes
257. NeurIPS 2023Rethinking Conditional Diffusion Sampling with Progressive Guidance
258. NeurIPS 2023Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement
259. NeurIPS 2023SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
260. NeurIPS 2023Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling
261. NeurIPS 2023ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection
262. NeurIPS 2023Scaling Riemannian Diffusion Models
263. NeurIPS 2023Score-based Data Assimilation
264. NeurIPS 2023Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces
265. NeurIPS 2023Score-based Generative Models with Lévy Processes
266. NeurIPS 2023Score-based Source Separation with Applications to Digital Communication Signals
267. NeurIPS 2023SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation
268. NeurIPS 2023SE(3) Equivariant Augmented Coupling Flows
269. NeurIPS 2023SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models
270. NeurIPS 2023SEGA: Instructing Text-to-Image Models using Semantic Guidance
271. NeurIPS 2023SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process
272. NeurIPS 2023Semi-Implicit Denoising Diffusion Models (SIDDMs)
273. NeurIPS 2023SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models
274. NeurIPS 2023SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
275. NeurIPS 2023Solving Inverse Physics Problems with Score Matching
276. NeurIPS 2023Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models
277. NeurIPS 2023Spatio-Angular Convolutions for Super-resolution in Diffusion MRI
278. NeurIPS 2023Spontaneous symmetry breaking in generative diffusion models
279. NeurIPS 2023Stable Bias: Evaluating Societal Representations in Diffusion Models
280. NeurIPS 2023Stable Diffusion is Unstable
281. NeurIPS 2023Star-Shaped Denoising Diffusion Probabilistic Models
282. NeurIPS 2023Strategic Behavior in Two-sided Matching Markets with Prediction-enhanced Preference-formation
283. NeurIPS 2023Structural Pruning for Diffusion Models
284. NeurIPS 2023StyleGAN knows Normal, Depth, Albedo, and More
285. NeurIPS 2023StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
286. NeurIPS 2023Subject-driven Text-to-Image Generation via Apprenticeship Learning
287. NeurIPS 2023Symbolic Discovery of Optimization Algorithms
288. NeurIPS 2023SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions
289. NeurIPS 2023SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis
290. NeurIPS 2023Synthetic Experience Replay
291. NeurIPS 2023T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
292. NeurIPS 2023Tanh Works Better with Asymmetry
293. NeurIPS 2023Temporal Dynamic Quantization for Diffusion Models
294. NeurIPS 2023Text-to-Image Diffusion Models are Zero Shot Classifiers
295. NeurIPS 2023TextDiffuser: Diffusion Models as Text Painters
296. NeurIPS 2023The CLIP Model is Secretly an Image-to-Prompt Converter
297. NeurIPS 2023The probability flow ODE is provably fast
298. NeurIPS 2023The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
299. NeurIPS 2023TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models
300. NeurIPS 2023Towards Consistent Video Editing with Text-to-Image Diffusion Models

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.