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

694 papers, page 12 of 14

551. ICLR 2026scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction
552. ICLR 2026SCOPED: Score–Curvature Out-of-distribution Proximity Evaluator for Diffusion
553. ICLR 2026Score Distillation Beyond Acceleration: Generative Modeling from Corrupted Data
554. ICLR 2026Score-Based Density Estimation from Pairwise Comparisons
555. ICLR 2026SDErasure: Concept-Specific Trajectory Shifting for Concept Erasure via Adaptive Diffusion Classifier
556. ICLR 2026SE-Diff: Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation
557. ICLR 2026Secure Inference for Diffusion Models via Unconditional Scores
558. ICLR 2026SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
559. ICLR 2026Self-Forcing++: Towards Minute-Scale High-Quality Video Generation
560. ICLR 2026Self-Speculative Decoding Accelerates Lossless Inference in Any-Order and Any-Subset Autoregressive Models
561. ICLR 2026Self-Speculative Masked Diffusions
562. ICLR 2026Semantic-Aware Diffusion LLM Inference With Adaptive Block Size
563. ICLR 2026SenseFlow: Scaling Distribution Matching for Flow-based Text-to-Image Distillation
564. ICLR 2026SERUM: Simple, Efficient, Robust, and Unifying Marking for Diffusion-based Image Generation
565. ICLR 2026Setting up for failure: automatic discovery of the neural mechanisms of cognitive errors
566. ICLR 2026SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples
567. ICLR 2026Shift-Tolerant Allocation via Black-Litterman Using Conditional Diffusion Estimates
568. ICLR 2026Shortcut Diffusion Training with Cumulative Consistency Loss: An Optimal Control View
569. ICLR 2026Shrinking Proteins with Diffusion
570. ICLR 2026SigmaDock: Untwisting Molecular Docking with Fragment-Based SE(3) Diffusion
571. ICLR 2026SIGMark: Scalable In-Generation Watermark with Blind Extraction for Video Diffusion
572. ICLR 2026SimpleFold: Folding Proteins is Simpler than You Think
573. ICLR 2026SketchEvo: Leveraging Drawing Dynamics for Enhanced Image Synthesis
574. ICLR 2026SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention
575. ICLR 2026SoFlow: Solution Flow Models for One-Step Generative Modeling
576. ICLR 2026Soft-Di[M]O: Improved one-step Image Discrete Model
577. ICLR 2026Soft-Masked Diffusion Language Models
578. ICLR 2026Source-Guided Flow Matching
579. ICLR 2026SparseD: Sparse Attention for Diffusion Language Models
580. ICLR 2026SpeechOp: Inference-Time Task Composition for Generative Speech Processing
581. ICLR 2026SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models
582. ICLR 2026SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models
583. ICLR 2026Spherical Watermark: Encryption-Free, Lossless Watermarking for Diffusion Models
584. ICLR 2026SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion
585. ICLR 2026SPRINT: Sparse-Dense Residual Fusion for Efficient Diffusion Transformers
586. ICLR 2026Stable Video Infinity: Infinite-Length Video Generation with Error Recycling
587. ICLR 2026Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models
588. ICLR 2026STEDiff: Revealing the Spatial and Temporal Redundancy of Backdoor Attacks in Text-to-Image Diffusion Models
589. ICLR 2026Steering Diffusion Models Towards Credible Content Recommendation
590. ICLR 2026SteinsGate: Adding Causality to Diffusions for Long Video Generation via Path Integral
591. ICLR 2026Step-Aware Residual-Guided Diffusion for EEG Spatial Super-Resolution
592. ICLR 2026Stopping Computation for Converged Tokens in Masked Diffusion-LM Decoding
593. ICLR 2026STORK: Faster Diffusion and Flow Matching Sampling by Resolving both Stiffness and Structure-Dependence
594. ICLR 2026Story-Iter: A Training-free Iterative Paradigm for Long Story Visualization
595. ICLR 2026Streaming Autoregressive Video Generation via Diagonal Distillation
596. ICLR 2026Streaming Drag-Oriented Interactive Video Manipulation: Drag Anything, Anytime!
597. ICLR 2026Strictly Constrained Generative Modeling via Split Augmented Langevin Sampling
598. ICLR 2026Stroke3D: Lifting 2D strokes into rigged 3D model via latent diffusion models
599. ICLR 2026Structured Flow Autoencoders: Learning Structured Probabilistic Representations with Flow Matching
600. ICLR 2026SynCoGen: Synthesizable 3D Molecule Generation via Joint Reaction and Coordinate Modeling

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.