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

2,202 papers, page 10 of 45

451. NeurIPS 2026Projection Learning: A Principled Way to Overcome Memorization in Distribution Learning
452. NeurIPS 2026Prompting Diffusion Models for Zero-Shot Instance Segmentation
453. NeurIPS 2026Propagation of Chaos in Contextual Flow Maps
454. NeurIPS 2026ProxyPose: 6-DoF Pose Tracking via Video-to-Video Translation
455. NeurIPS 2026ProxySearch: Decoupled Inference-Time Scaling for Diffusion Models via Asymmetric Noise-Rank Transfer
456. NeurIPS 2026PSD: Pushing the Pareto Frontier of Diffusion LLMs via Parallel Speculative Decoding
457. NeurIPS 2026Q-ARVD: Quantizing Autoregressive Video Diffusion Models
458. NeurIPS 2026Quantile-Coupled Flow Matching for Distributional Reinforcement Learning
459. NeurIPS 2026Quantitative Assessment of Crystal Structure Prediction
460. NeurIPS 2026Query Lower Bounds for Diffusion Sampling
461. NeurIPS 2026RA-CFGCache: From Branch-Level Criteria to Guided-Risk Control under Classifier-Free Guidance
462. NeurIPS 2026RadarFlowPose: Vision-Inspired Coarse-to-Fine Skeleton Refinement with Flow Matching
463. NeurIPS 2026RB-LDC: Redundancy-Balanced Latent Coding for Robust Diffusion
464. NeurIPS 2026Re-evaluating Confidence Remasking in Masked Diffusion Language Models
465. NeurIPS 2026Read It Back: Pretrained MLLMs Are Zero-shot Reward Models for Text-to-Image Generation
466. NeurIPS 2026Reading Positional Coupling in Transformers with Diffusion Scores
467. NeurIPS 2026Reasoning with Undecoded Tokens in Diffusion Language Models
468. NeurIPS 2026Reconsidering Positional Supervision in Masked Diffusion Language Model Training
469. NeurIPS 2026Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models
470. NeurIPS 2026Recursively Trained Diffusion Models: Limiting Collapse Distribution and Spectral Characterization
471. NeurIPS 2026RefDecoder: Enhancing Visual Generation with Conditional Video Decoding
472. NeurIPS 2026Refining Compositional Diffusion for Reliable Long-Horizon Planning
473. NeurIPS 2026Reflected Schrödinger Bridge Matching
474. NeurIPS 2026ReFlex: Faithful Panorama Reconstruction from a Single Image with Reflections
475. NeurIPS 2026ReFPO: Reflow Regularization for Flow Matching Policy Gradients
476. NeurIPS 2026ReGuidance: Diffusion Steering with Strong Latent Initializations Solves Hard Inverse Problems
477. NeurIPS 2026Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow Models
478. NeurIPS 2026Reinforcement learning enhanced flow matching for reference-based tumor generation on unpaired CT images
479. NeurIPS 2026Reinforcement Learning for Diffusion LLMs with Entropy-Guided Step Selection and Stepwise Advantages
480. NeurIPS 2026Reject, Resample, Repeat: Understanding Parallel Reasoning in Language Model Inference
481. NeurIPS 2026Reliability-Coupled Manifold-Aware Diffusion for Missing-Modality Inference
482. NeurIPS 2026Renoise Consistency: Unlocking Efficient Self-Correction for Diffusion Large Language Models
483. NeurIPS 2026RePiD: Efficient Recursive Pixel-Space Diffusion via Hierarchical Patch Denoising
484. NeurIPS 2026RepoScope: Bridging Physical Structure and Logical Flow for Intent-Driven Repository Documentation
485. NeurIPS 2026Representation Preconditioning for Efficient Diffusion Model Training
486. NeurIPS 2026Repurposing Video Diffusion Transformers for Cross-View Temporal Object Correspondence
487. NeurIPS 2026ResFusion: Medical Image Fusion Driven by Implicit-Forward Diffusion and Time-aware Joint Optimization
488. NeurIPS 2026Response Time Enhances Alignment with Heterogeneous Preferences
489. NeurIPS 2026Rethinking Causal Action Tokenization with Conditional Annealing in Flow Matching
490. NeurIPS 2026Rethinking Diffusion Decoding via Structural Commitment
491. NeurIPS 2026Rethinking Knowledge Distillation for Diffusion Language Models
492. NeurIPS 2026Rethinking Learning from Label Proportions via Moment Matching
493. NeurIPS 2026Rethinking Memorization–Generalization Trade-Off in Generative Models
494. NeurIPS 2026Rethinking Vector Field Learning for Generative Segmentation
495. NeurIPS 2026Reusable Conditional Resampling via Flow Matching for Constraint-Based Causal Discovery
496. NeurIPS 2026Reversing the Roles of Signal and Noise: Modeling Noise in Astronomical Images without Paired Data
497. NeurIPS 2026Revisiting The Power of Closed-Form: Robust Deep Image Prototype Discovery via Scale Mixtures
498. NeurIPS 2026Reweighted Flow Matching via Unbalanced Optimal Transport for Label-free Long-tailed Generation
499. NeurIPS 2026RIFLE: Removal of Image Flicker-Banding via Latent Diffusion Enhancement
500. NeurIPS 2026RoboExo: Structure-Guided Wrist-to-Exocentric Video Generation for Scalable Robot Learning

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.