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

728 papers, page 12 of 15

551. ICML 2026ScDiVa: Masked Discrete Diffusion for Joint Modeling of Single-Cell Identity and Expression
552. ICML 2026SceneDirector: Bridging Explicit Geometry and Generative Priors for Unified Driving Scene Editing
553. ICML 2026SCNS: Continual Personalization of Diffusion Models via Submodular Concept Neuron Selection
554. ICML 2026Score Based Error Correcting Code Decoder
555. ICML 2026Score Correction for Generative Models with Probabilistic Constraints
556. ICML 2026ScoreMatchingRiesz: Score Matching for Debiased Machine Learning and Policy Path Estimation
557. ICML 2026ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves Recognition
558. ICML 2026SDiD：Shared diffusion prior for efficient distributed stereo image compression
559. ICML 2026SE(3)-Equivariant Flow Matching with Gaussian Process Priors for Geometric Trajectory Prediction
560. ICML 2026SE(n)-Invariant Flow Matching: A General Framework with Application to Object Reassembly
561. ICML 2026Search or Accelerate: Confidence-Switched Position Beam Search for Diffusion Language Models
562. ICML 2026SeisMark: A Large-Scale Open Benchmark for Robust 3D Seismic Fault Detection
563. ICML 2026Self-Augmenting Retrieval for Diffusion Language Models
564. ICML 2026Self-Prompting Diffusion Transformer for Open-Vocabulary Scene Text Edit via In-Context Learning
565. ICML 2026Self-Refining Video Sampling
566. ICML 2026Self-Supervised Flow Matching for Scalable Multi-Modal Synthesis
567. ICML 2026Semantic Editing with Coupled Stochastic Differential Equations
568. ICML 2026Semantic-level Backdoor Attack against Text-to-Image Diffusion Models
569. ICML 2026SemanticNVS: Improving Semantic Scene Understanding in Generative Novel View Synthesis
570. ICML 2026SemBind: Binding Diffusion Watermarks to Semantics Against Black-Box Forgery Attacks
571. ICML 2026Set Diffusion: Interpolating Token Orderings between Autoregression and Diffusion for Fast and Flexible Decoding
572. ICML 2026Set-Coupled Guidance: Set-Level Coordination in Diffusion-Based Dataset Distillation
573. ICML 2026SGMD: Score Gradient Matching Distillation for Few-Step Video Diffusion Distillation
574. ICML 2026Shifting the Breaking Point of Flow Matching for Multi-Instance Editing
575. ICML 2026SimGFM: Simplifying Discrete Flow Matching for Graph Generation
576. ICML 2026Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures
577. ICML 2026Simple Denoising Diffusion Language Models
578. ICML 2026Singular Proxies for Adaptive Caching in Diffusion Language Models
579. ICML 2026Sinkhorn Normalization of Diffusion Kernels
580. ICML 2026SIPO: Stabilized and Improved Preference Optimization for Aligning Diffusion Models
581. ICML 2026Skipping the Zeros in Diffusion Models for Sparse Data Generation
582. ICML 2026SlerpFlow: Spherical Trajectory Correction for Rectified Flow Inversion
583. ICML 2026SMD: Multi-view Safety-Critical Driving Video Generation in the Real-world Domain
584. ICML 2026Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation
585. ICML 2026Sobolev Regularized Score Difference Estimation in Diffusion Models
586. ICML 2026SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering
587. ICML 2026Sparse ActionGen: Accelerating Diffusion Policy with Real-time Pruning
588. ICML 2026Sparse Relaxed-Lasso Steering: Automatic Sparse Autoencoder Feature Selection for Precise Image Editing
589. ICML 2026SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes
590. ICML 2026Spatiotemporal Imputation with Graph-Informed Flow Matching
591. ICML 2026Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image Generation
592. ICML 2026Spectral Flow Matching: Stabilizing Stochastic GFlowNets via Frequency-Domain Regularization
593. ICML 2026Spectral Guidance for Flexible and Efficient Control of Diffusion Models
594. ICML 2026Spectrally-Guided Diffusion Noise Schedules
595. ICML 2026SPEED: Sharpened-Teacher Distillation for Parallel Decoding of Diffusion Language Models
596. ICML 2026SpeedVFI: One-step Diffusion for Efficient Video Frame Interpolation
597. ICML 2026Spiral RoPE: Rotate Your Rotary Positional Embeddings in the 2D Plane
598. ICML 2026SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models
599. ICML 2026ST-Veto: Spatio-Temporal Token Veto for Diffusion MLLMs via Taylor Prediction and Visual Grounding
600. ICML 2026Stability Analysis of Sharpness-Aware Minimization

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.