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

661 papers, page 8 of 14

351. NeurIPS 2026Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators
352. NeurIPS 2026LLM Is a Good Conditioner: End-to-End Sign Language Video Generation with VQ-Diffusion
353. NeurIPS 2026Local Intrinsic Dimension Unveils Hallucinations in Diffusion Models
354. NeurIPS 2026Locality-Controlled OOD Guidance for Robust Regulatory DNA Sequence Design
355. NeurIPS 2026Localizing Concepts in Visual Autoregressive Models
356. NeurIPS 2026Looped Diffusion Language Models
357. NeurIPS 2026LoRAtorio: An intrinsic approach to LoRA Skill Composition
358. NeurIPS 2026LucidNFT: LR-Anchored Multi-Reward Preference Optimization for Flow-Based Real-World Super-Resolution
359. NeurIPS 2026Machine Unlearning in Diffusion LLMs
360. NeurIPS 2026MAGE: All-[MASK] Block Already Knows Where to Look in Block Diffusion LLM
361. NeurIPS 2026Mamba Flow Matching Neural Processes: Linear-Time Inference for Irregularly Observed Spatial Fields
362. NeurIPS 2026Manifold Drift in Flow Preference Optimization: A Root Cause of Reward Hacking
363. NeurIPS 2026Manifold-Aligned Adversarial Perturbation for Anti-Customization under Diffusion-based Purification
364. NeurIPS 2026ManipulationRAG: Retrieval-Augmented Fine-Grained Manipulation of Object Functional Parts
365. NeurIPS 2026Map-Guided Caching: A Global Perspective for Efficient Diffusion Transformer
366. NeurIPS 2026Marrying Optimal Transport and ODEs for Unified Continuous-Time 4D Reconstruction and Tracking
367. NeurIPS 2026Mask-Conditioned Gradient Masking for Fine-Tuning Mixture-of-Experts Diffusion Language Models
368. NeurIPS 2026Masked Generative Pretraining Improves Cross-Dataset Transfer in Pixel-Space Diffusion
369. NeurIPS 2026MaterialsSaddles: 34 Million Transition States and a Flow-Matching Saddle-Point Predictor for Materials
370. NeurIPS 2026MCM-DM: Towards Better Spatio-Temporal Event Representation Learning via Discrete Morse Theory
371. NeurIPS 2026Mean-Field Parallel Decoding for Discrete Diffusion Language Models
372. NeurIPS 2026Mesh BDF: Barycentric Dominance Field for 3D Native Mesh Generation
373. NeurIPS 2026Metric Depth Estimation from Arbitrarily Degraded Low-Resolution Depth Prompts
374. NeurIPS 2026Metropolis-Adjusted Diffusion Models
375. NeurIPS 2026MFlowAudio: Efficient Text-to-Audio Synthesis via Mamba-based Stateful Flow Matching
376. NeurIPS 2026MiCo: Microstructure-Consistent Flow Matching for Diffusion MRI Angular Super-Resolution
377. NeurIPS 2026MilliVid: Adaptive Latents for Long-Range Consistency in Video Generation
378. NeurIPS 2026MissPath-FM: Flow Matching with Structured Priors for Partially Observed Time Series
379. NeurIPS 2026Mitigating Compounding Errors in Online Reinforcement Learning via Optimal Transport Regularized Flow Matching
380. NeurIPS 2026Mitigating Over-squashing without Rewiring: A Sheaf Effective Resistance Perspective
381. NeurIPS 2026Mix-Opt: Mixed Optimization for Memory-Efficient Personalization of Text-to-Image Diffusion Models
382. NeurIPS 2026Mixed-Curvature Geometric Latent Diffusion Model for Graph Generation
383. NeurIPS 2026MobileWan: Closing the Quality Gap for Mobile Video Diffusion
384. NeurIPS 2026MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models
385. NeurIPS 2026MonarchRT: Efficient Attention for Real-Time Video Generation
386. NeurIPS 2026MONET: A Massive, Open, Non-redundant and Enriched Text-to-image dataset
387. NeurIPS 2026MotionGrounder: Grounded Multi-Object Motion Transfer via Diffusion Transformer
388. NeurIPS 2026Move on Muon : A Hamiltonian probability gradient flow perspective of Muon optimizer
389. NeurIPS 2026Multilevel and Sequential Monte Carlo for Training-Free Diffusion Guidance
390. NeurIPS 2026MUNI: Multimodal Unified Latent Diffusion for Coherent Any-to-Any Generation
391. NeurIPS 2026My Video Stays Mine: Temporally Consistent Universal Adversarial Perturbations against Video Customization
392. NeurIPS 2026NAGO: Noise-Aware Generative Operator via Flow Matching
393. NeurIPS 2026Nahual: A Sequence Model for Language and Atoms
394. NeurIPS 2026NDPP-Grasp: Non-Differentiable Physical Plausibility Constraint-Guided Task-Oriented Dexterous Grasp Generation
395. NeurIPS 2026NEAT: Neighborhood-Guided, Efficient, Autoregressive Set Transformer for 3D Molecular Generation
396. NeurIPS 2026Neural Continuous-Time Markov Chain: Discrete Diffusion via Decoupled Jump Timing and Direction
397. NeurIPS 2026Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries
398. NeurIPS 2026Noise-Started One-Step Image Super-Resolution via LR-Conditioned SplitMeanFlow and GAN Refinement
399. NeurIPS 2026Normalizing Flows are Capable Trajectory Planners
400. NeurIPS 2026Normalizing Trajectory 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.