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

346 papers, page 6 of 7

251. ICML 2025ReFrame: Layer Caching for Accelerated Inference in Real-Time Rendering
252. ICML 2025REG: Rectified Gradient Guidance for Conditional Diffusion Models
253. ICML 2025ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation
254. ICML 2025RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior
255. ICML 2025Rethinking Score Distilling Sampling for 3D Editing and Generation
256. ICML 2025Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate
257. ICML 2025Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation
258. ICML 2025Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design
259. ICML 2025Riemannian Diffusion Adaptation for Distributed Optimization on Manifolds
260. ICML 2025RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers
261. ICML 2025RobustLight: Improving Robustness via Diffusion Reinforcement Learning for Traffic Signal Control
262. ICML 2025Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
263. ICML 2025S4S: Solving for a Fast Diffusion Model Solver
264. ICML 2025SADA: Stability-guided Adaptive Diffusion Acceleration
265. ICML 2025SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders
266. ICML 2025SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation
267. ICML 2025Sample-specific Noise Injection for Diffusion-based Adversarial Purification
268. ICML 2025SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
269. ICML 2025SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion
270. ICML 2025Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching
271. ICML 2025Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment
272. ICML 2025Score as Action: Fine Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning
273. ICML 2025Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
274. ICML 2025Score-of-Mixture Training: One-Step Generative Model Training Made Simple via Score Estimation of Mixture Distributions
275. ICML 2025SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
276. ICML 2025SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning
277. ICML 2025Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation
278. ICML 2025Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency
279. ICML 2025Sidechain conditioning and modeling for full-atom protein sequence design with FAMPNN
280. ICML 2025Simple and Critical Iterative Denoising: A Recasting of Discrete Diffusion in Graph Generation
281. ICML 2025Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
282. ICML 2025SITCOM: Step-wise Triple-Consistent Diffusion Sampling For Inverse Problems
283. ICML 2025SketchDNN: Joint Continuous-Discrete Diffusion for CAD Sketch Generation
284. ICML 2025Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation
285. ICML 2025Slimming the Fat-Tail: Morphing-Flow for Adaptive Time Series Modeling
286. ICML 2025Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences
287. ICML 2025Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo
288. ICML 2025Sounding that Object: Interactive Object-Aware Image to Audio Generation
289. ICML 2025Sparse Autoencoders, Again?
290. ICML 2025Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity
291. ICML 2025Spatial Reasoning with Denoising Models
292. ICML 2025Spherical-Nested Diffusion Model for Panoramic Image Outpainting
293. ICML 2025SSHR: More Secure Generative Steganography with High-Quality Revealed Secret Images
294. ICML 2025STD-FD: Spatio-Temporal Distribution Fitting Deviation for AIGC Forgery Identification
295. ICML 2025Stealix: Model Stealing via Prompt Evolution
296. ICML 2025Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence
297. ICML 2025Stochastic Deep Restoration Priors for Imaging Inverse Problems
298. ICML 2025Stochastic Forward–Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets
299. ICML 2025Stream-level Flow Matching with Gaussian Processes
300. ICML 2025Sundial: A Family of Highly Capable Time Series Foundation 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.