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

6,899 papers, page 22 of 138

1051. ICLR 2026On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations
1052. ICLR 2026On the Design of One-step Diffusion via Shortcutting Flow Paths
1053. ICLR 2026On the Interpolation Effect of Score Smoothing in Diffusion Models
1054. ICLR 2026On the Reasoning Abilities of Masked Diffusion Language Models
1055. ICLR 2026One step further with Monte-Carlo sampler to guide diffusion better
1056. ICLR 2026One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs
1057. ICLR 2026One-Step Flow Q-Learning: Addressing the Diffusion Policy Bottleneck in Offline Reinforcement Learning
1058. ICLR 2026One2Scene: Geometric Consistent Explorable 3D Scene Generation from a Single Image
1059. ICLR 2026Overshoot and Shrinkage in Classifier-Free Guidance: From Theory to Practice
1060. ICLR 2026OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction
1061. ICLR 2026P3D: Highly Scalable 3D Neural Surrogates for Physics Simulations with Global Context
1062. ICLR 2026PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models
1063. ICLR 2026Pallatom-Ligand: an All-Atom Diffusion Model for Designing Ligand-Binding Proteins
1064. ICLR 2026Parallel Multimodal Diffusion Language Models for Thinking-Aware Editing and Generation
1065. ICLR 2026Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing
1066. ICLR 2026ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs
1067. ICLR 2026Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization
1068. ICLR 2026Partition Generative Modeling: Masked Modeling Without Masks
1069. ICLR 2026Patronus: Interpretable Diffusion Models with Prototypes
1070. ICLR 2026PepTri: Tri-Guided All-Atom Diffusion for Peptide Design via Physics, Evolution, and Mutual Information
1071. ICLR 2026Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection
1072. ICLR 2026Physics vs Distributions: Pareto Optimal Flow Matching with Physics Constraints
1073. ICLR 2026Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems
1074. ICLR 2026pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation
1075. ICLR 2026PI-Light: Physics-Inspired Diffusion for Full-Image Relighting
1076. ICLR 2026PICS: Pairwise Image Compositing with Spatial Interactions
1077. ICLR 2026PINFDiT: Energy-Based Physics-Informed Diffusion Transformers for General-purpose Time Series Tasks
1078. ICLR 2026Pixel-Level Residual Diffusion Transformer: Scalable 3D CT Volume Generation
1079. ICLR 2026Pixel-Perfect Puppetry: Precision-Guided Enhancement for Face Image and Video Editing
1080. ICLR 2026PixNerd: Pixel Neural Field Diffusion
1081. ICLR 2026Planned Diffusion
1082. ICLR 2026Planner Aware Path Learning in Diffusion Language Models Training
1083. ICLR 2026Plug-and-Play Fidelity Optimization for Diffusion Transformer Acceleration via Cumulative Error Minimization
1084. ICLR 2026Point Prompting: Counterfactual Tracking with Video Diffusion Models
1085. ICLR 2026PolicyFlow: Policy Optimization with Continuous Normalizing Flow in Reinforcement Learning
1086. ICLR 2026Polynomial Convergence of Riemannian Diffusion Models
1087. ICLR 2026PreciseCache: Precise Feature Caching for Efficient and High-fidelity Video Generation
1088. ICLR 2026Preserve and Personalize: Personalized Text-to-Image Diffusion Models without Distributional Drift
1089. ICLR 2026Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective
1090. ICLR 2026PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference
1091. ICLR 2026PRISM: Controllable Diffusion for Compound Image Restoration with Scientific Fidelity
1092. ICLR 2026PRO-MOF: Policy Optimization with Universal Atomistic Models for Controllable MOF Generation
1093. ICLR 2026Product-Quantised Image Representation for High-Quality Image Synthesis
1094. ICLR 2026Projected Coupled Diffusion for Test-Time Constrained Joint Generation
1095. ICLR 2026ProteinAE: Protein Diffusion Autoencoders for Structure Encoding
1096. ICLR 2026Provable Separations between Memorization and Generalization in Diffusion Models
1097. ICLR 2026Proximal Diffusion Neural Sampler
1098. ICLR 2026Purrception: Variational Flow Matching for Vector-Quantized Image Generation
1099. ICLR 2026Pusa V1.0: Unlocking Temporal Control in Pretrained Video Diffusion Models via Vectorized Timestep Adaptation
1100. ICLR 2026Pyramid Patchification Flow for Visual Generation

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.