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

1,527 papers, page 2 of 31

51. ICLR 2026Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement Learning
52. ICLR 2026Beyond Scattered Acceptance: Fast and Coherent Inference for DLMs via Longest Stable Prefixes
53. ICLR 2026Beyond Text-to-Image: Liberating Generation with a Unified Discrete Diffusion Model
54. ICLR 2026Beyond Uniformity: Sample and Frequency Meta Weighting for Post-Training Quantization of Diffusion Models
55. ICLR 2026BézierFlow: Learning Bézier Stochastic Interpolant Schedulers for Few-Step Generation
56. ICLR 2026BideDPO: Conditional Image Generation with Simultaneous Text and Condition Alignment
57. ICLR 2026BindWeave: Subject-Consistent Video Generation via Cross-Modal Integration
58. ICLR 2026Block-wise Adaptive Caching for Accelerating Diffusion Policy
59. ICLR 2026Brain-IT: Image Reconstruction from fMRI via Brain-Interaction Transformer
60. ICLR 2026Branched Schrödinger Bridge Matching
61. ICLR 2026BranchGRPO: Stable and Efficient GRPO with Structured Branching in Diffusion Models
62. ICLR 2026BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving
63. ICLR 2026Bridging Degradation Discrimination and Generation for Universal Image Restoration
64. ICLR 2026Bridging Successor Measure and Online Policy Learning with Flow Matching-Based Representations
65. ICLR 2026Bridging the Distribution Gap to Harness Pretrained Diffusion Priors for Super-Resolution
66. ICLR 2026Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models
67. ICLR 2026Bures-Wasserstein Flow Matching for Graph Generation
68. ICLR 2026BWCache: Accelerating Video Diffusion Transformers through Block-Wise Caching
69. ICLR 2026Captain Cinema: Towards Short Movie Generation
70. ICLR 2026Capturing Visual Environment Structure Correlates with Control Performance
71. ICLR 2026CardioComposer: Leveraging Differentiable Geometry for Compositional Control of Anatomical Diffusion Models
72. ICLR 2026Carré du champ flow matching: better quality-generalisation tradeoff in generative models
73. ICLR 2026CASteer: Cross-Attention Steering for Controllable Concept Erasure
74. ICLR 2026Causal Score Conditioning for Multi-Resolution Latent Systems
75. ICLR 2026CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators
76. ICLR 2026CheckMate! Watermarking Graph Diffusion Models in Polynomial Time
77. ICLR 2026CineTrans: Learning to Generate Videos with Cinematic Transitions via Masked Diffusion Models
78. ICLR 2026CL-DPS: A Contrastive Learning Approach to Blind Nonlinear Inverse Problem Solving via Diffusion Posterior Sampling
79. ICLR 2026Closing the Safety Gap: Surgical Concept Erasure in Visual Autoregressive Models
80. ICLR 2026Clustering by Denoising: Latent plug-and-play diffusion for single-cell embeddings
81. ICLR 2026CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow-Map Models
82. ICLR 2026Co-occurring Associated REtained concepts in Diffusion Unlearning
83. ICLR 2026CO3: CONTRASTING CONCEPTS COMPOSE BETTER
84. ICLR 2026CoCoDiff: Correspondence-Consistent Diffusion Model for Fine-grained Style Transfer
85. ICLR 2026CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset Distillation
86. ICLR 2026CoEmoGen: Towards Semantically-Coherent and Scalable Emotional Image Content Generation
87. ICLR 2026ComGS: Efficient 3D Object-Scene Composition via Surface Octahedral Probes
88. ICLR 2026Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond
89. ICLR 2026Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition
90. ICLR 2026Composition of Memory Experts for Diffusion World Models
91. ICLR 2026Compositional amortized inference for large-scale hierarchical Bayesian models
92. ICLR 2026Compositional Diffusion with Guided search for Long-Horizon Planning
93. ICLR 2026Compositional Visual Planning via Inference-Time Diffusion Scaling
94. ICLR 2026Concept-based Adversarial Attack: a Probabilistic Perspective
95. ICLR 2026Concept-TRAK: Understanding how diffusion models learn concepts through concept attribution
96. ICLR 2026Condition Errors Refinement in Autoregressive Image Generation with Diffusion Loss
97. ICLR 2026Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting
98. ICLR 2026Conjuring Semantic Similarity
99. ICLR 2026Consis-GCPO: Consistency-Preserving Group Causal Preference Optimization for Vision Customization
100. ICLR 2026Consistency Geodesic Bridge: Image Restoration with Pretrained Diffusion 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.