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

661 papers, page 2 of 14

51. NeurIPS 2026B[FM]$^2$: Brain Foundation Model via Flow Matching with SplitUNet
52. NeurIPS 2026Baton: Explicit Semantic Blueprints for Joint Video-Audio Generation
53. NeurIPS 2026Beckmann Transport Models: From Autonomous Flows to One-Step Maps
54. NeurIPS 2026Bernini: Latent Semantic Planning for Video Diffusion
55. NeurIPS 2026Bernoulli Flow Models: Self-Consistent Generative Modeling for Binary Data
56. NeurIPS 2026Best-of-$N$ Guidance for Test-time Diffusion Alignment
57. NeurIPS 2026Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching
58. NeurIPS 2026Beyond Distribution Matching: Self-Supervised Representation Forcing for Few-Step Video Generation
59. NeurIPS 2026Beyond Generation: Unlocking Discriminative Representations from Diffusion Models
60. NeurIPS 2026Beyond Local Neighborhoods: Fractional Diffusion with Levy Flights on Simplicial Complexes for Link Prediction
61. NeurIPS 2026Beyond MMSE: Enhancing PnP Restoration with ProxiMAP
62. NeurIPS 2026Beyond Node Sequences: Relational Diffusion for Unified Graph Learning
63. NeurIPS 2026Beyond Single-Shot Conditioning: Test-Time Condition Refinement for Diffusion-Based Image Restoration
64. NeurIPS 2026Beyond ViT Tokens: Masked-Diffusion Pretrained Convolutional Pathology Foundation Model for Cell-Level Dense Prediction
65. NeurIPS 2026Bidirectional Sparse Attention for Faster Video Diffusion Training
66. NeurIPS 2026BigCell: Generating Gigapixel Whole-Slide Images
67. NeurIPS 2026BiLoCo: Binary Low-Rank Corrections for LLM FP4 Decode
68. NeurIPS 2026BiMoGen: Bidirectional Motion-Text Generation via Unified Masked Discrete Diffusion
69. NeurIPS 2026Blocked Gibbs meets Diffusion Transformers: Unsupervised Learning for Constraint Optimization
70. NeurIPS 2026Bonobo: Efficient Library-Scale Generation for De Novo Antibody Design
71. NeurIPS 2026Boosting Text-to-Image Diffusion Models via Core Token Attention-Based Seed Selection
72. NeurIPS 2026Branching Flows: Discrete, Continuous, and Manifold Flow Matching with Splits and Deletions
73. NeurIPS 2026Breaking the Uniformity Trap: Scaling Video Diffusion Model via SplitMoE
74. NeurIPS 2026Bridge Graphical Models: Coupling, Projection, and Current-Preserving Dynamics for Generative Modeling
75. NeurIPS 2026Bridging Diffusion and Autoregression for Flexible Time Series Synthesis
76. NeurIPS 2026BuresTomFlow: Bures-Geometric Flow Matching for Posterior Quantum Tomography
77. NeurIPS 2026Cache the Future: Training-Free Self-Revision for Diffusion Transformer Acceleration
78. NeurIPS 2026Calibrating Generative Models to Feature Distributions with MMD Finetuning
79. NeurIPS 2026Causal Discovery Under Hard Selection Bias: A New Robust Score-Matching Approach
80. NeurIPS 2026Chain-of-Generation: Progressive Latent Diffusion for Text-Guided Molecular Design
81. NeurIPS 2026Chance-constrained Flow Matching for High-Fidelity Constraint-aware Generation
82. NeurIPS 2026Characterizing Memorization in Diffusion Language Models: Generalized Extraction and Sampling Effects
83. NeurIPS 2026CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation
84. NeurIPS 2026Co-Evolving Interpolants and Flows via Path-Flow Alignment
85. NeurIPS 2026Co-GRPO: Co-Optimized Group Relative Policy Optimization for Masked Image Generation
86. NeurIPS 2026Coarse-to-Fine Compositional Diffusion for Long-Horizon Planning
87. NeurIPS 2026CofactVLA: Deconfounding Vision-Language-Action Models via Counterfactual Intervention
88. NeurIPS 2026Collective Supervision for Unified Biomolecular Conformation and Dynamics Modeling with CoDyna
89. NeurIPS 2026Colored Noise Diffusion Sampling
90. NeurIPS 2026Compute-Optimal Pretrain--Fine-tune in Ridge Gradient Flow
91. NeurIPS 2026Conditioning Gaussian Processes on Almost Anything
92. NeurIPS 2026Confidence-Based Decoding is Provably Efficient for Diffusion Language Models
93. NeurIPS 2026Confidence-Based Diffusion Sampling with Geometric Readiness Awareness for Accelerated Structure-based Drug Design
94. NeurIPS 2026Conservation Laws for Diffusion Models
95. NeurIPS 2026Consistent 3D Surface Flow Model with Global State
96. NeurIPS 2026Constrained Decoding for Diffusion Language Models via Efficient Inference over Finite Automata
97. NeurIPS 2026Contextual Flow Matching for High-quality Visual Content Generation
98. NeurIPS 2026Contextual Flow Matching: Adaptive Step Selection in Flow Models for Efficient Visual Generation
99. NeurIPS 2026Continual Learning in Modern Hopfield Networks with an Application to Diffusion Models
100. NeurIPS 2026Continuous Diffusion Scales Competitively with Discrete Diffusion for Language

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.