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

520 papers, page 8 of 11

351. NeurIPS 2024OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
352. NeurIPS 2024OccFusion: Rendering Occluded Humans with Generative Diffusion Priors
353. NeurIPS 2024ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models
354. NeurIPS 2024OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation
355. NeurIPS 2024On conditional diffusion models for PDE simulations
356. NeurIPS 2024On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
357. NeurIPS 2024On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection
358. NeurIPS 2024On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)
359. NeurIPS 2024On the Scalability of Certified Adversarial Robustness with Generated Data
360. NeurIPS 2024One-Step Diffusion Distillation through Score Implicit Matching
361. NeurIPS 2024One-Step Effective Diffusion Network for Real-World Image Super-Resolution
362. NeurIPS 2024One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
363. NeurIPS 2024OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance
364. NeurIPS 2024Online Posterior Sampling with a Diffusion Prior
365. NeurIPS 2024OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images
366. NeurIPS 2024Optical Diffusion Models for Image Generation
367. NeurIPS 2024Optimal Flow Matching: Learning Straight Trajectories in Just One Step
368. NeurIPS 2024Optimization Can Learn Johnson Lindenstrauss Embeddings
369. NeurIPS 2024Out-of-Distribution Detection with a Single Unconditional Diffusion Model
370. NeurIPS 2024PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
371. NeurIPS 2024ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping
372. NeurIPS 2024Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
373. NeurIPS 2024PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
374. NeurIPS 2024Persistent Homology for High-dimensional Data Based on Spectral Methods
375. NeurIPS 2024Phased Consistency Models
376. NeurIPS 2024PhoCoLens: Photorealistic and Consistent Reconstruction in Lensless Imaging
377. NeurIPS 2024Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
378. NeurIPS 2024Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
379. NeurIPS 2024Precipitation Downscaling with Spatiotemporal Video Diffusion
380. NeurIPS 2024Prediction with Action: Visual Policy Learning via Joint Denoising Process
381. NeurIPS 2024Preference Alignment with Flow Matching
382. NeurIPS 2024PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference
383. NeurIPS 2024Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors
384. NeurIPS 2024ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing
385. NeurIPS 2024Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models
386. NeurIPS 2024PromptFix: You Prompt and We Fix the Photo
387. NeurIPS 2024Provable Posterior Sampling with Denoising Oracles via Tilted Transport
388. NeurIPS 2024Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction
389. NeurIPS 2024PTQ4DiT: Post-training Quantization for Diffusion Transformers
390. NeurIPS 2024PuLID: Pure and Lightning ID Customization via Contrastive Alignment
391. NeurIPS 2024PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics
392. NeurIPS 2024QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation
393. NeurIPS 2024RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees
394. NeurIPS 2024RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
395. NeurIPS 2024Reconstructing the Image Stitching Pipeline: Integrating Fusion and Rectangling into a Unified Inpainting Model
396. NeurIPS 2024RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
397. NeurIPS 2024ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration
398. NeurIPS 2024RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance
399. NeurIPS 2024ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
400. NeurIPS 2024Regularized Conditional Diffusion Model for Multi-Task Preference Alignment

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.